The document discusses difference systems of sets (DSS), which are sets with certain distance properties. It provides examples of perfect and regular DSS, and discusses approaches to constructing optimal DSS, including using cyclic difference packings, flats in projective geometry, and cyclotomic classes. Optimal constructions are given using finite fields and cyclotomic cosets.
Likelihood is sometimes difficult to compute because of the complexity of the model. Approximate Bayesian computation (ABC) makes it easy to sample parameters generating approximation of observed data.
The document describes the process of integration by partial fractions. It explains that when the degree of the numerator is greater than or equal to the denominator, division is performed. Otherwise, the denominator is factored. For each linear factor, the numerator is written as a sum of terms divided by that factor. For multiple linear factors, the numerator is written as a sum of terms divided by powers of that factor. Examples are provided to demonstrate these steps.
The document discusses velocity and acceleration in terms of position x. It provides equations showing that acceleration is equal to the derivative of velocity with respect to time, and the derivative of velocity with respect to x. It also gives examples of using these relationships to find velocity and position as functions of x and time for particles where acceleration is given.
This document summarizes a numerical analysis of a mixed finite element method for Reissner-Mindlin plates. It presents the continuous and discrete formulations, including the model problem, variational formulation, finite element spaces, and properties like ellipticity and inf-sup conditions. Key results shown are the well-posedness of both the continuous and discrete problems, and stability estimates for the solutions that are independent of the mesh size and plate thickness.
This document discusses sequence alignment. It defines sequence alignment as finding the best match between two sequences, such as DNA or proteins, by inserting gaps. It presents the basics of sequence alignment, including defining optimal alignments as those with the fewest edits (substitutions, insertions, deletions), dynamic programming to calculate optimal alignments through an edit cost matrix, and using this approach to find the optimal alignment between the sequences "mean" and "name".
1) 0! equals 1 based on the algebraic definition of the factorial function and properties of the gamma function.
2) The variance formula s^2 is derived from the definition of variance and using algebraic manipulations to simplify the expression in terms of sums of the data values.
3) It is shown that the sample mean x can be expressed as the population mean x' plus the sum of the standardized deviations from the mean, divided by n.
4) The equations for the slope b and y-intercept a of the linear regression line are derived by taking expectations of both sides of the linear equation and rearranging terms involving sums of the data values.
EXPERT SYSTEMS AND SOLUTIONS
Project Center For Research in Power Electronics and Power Systems
IEEE 2010 , IEEE 2011 BASED PROJECTS FOR FINAL YEAR STUDENTS OF B.E
Email: expertsyssol@gmail.com,
Cell: +919952749533, +918608603634
www.researchprojects.info
OMR, CHENNAI
IEEE based Projects For
Final year students of B.E in
EEE, ECE, EIE,CSE
M.E (Power Systems)
M.E (Applied Electronics)
M.E (Power Electronics)
Ph.D Electrical and Electronics.
Training
Students can assemble their hardware in our Research labs. Experts will be guiding the projects.
EXPERT GUIDANCE IN POWER SYSTEMS POWER ELECTRONICS
We provide guidance and codes for the for the following power systems areas.
1. Deregulated Systems,
2. Wind power Generation and Grid connection
3. Unit commitment
4. Economic Dispatch using AI methods
5. Voltage stability
6. FLC Control
7. Transformer Fault Identifications
8. SCADA - Power system Automation
we provide guidance and codes for the for the following power Electronics areas.
1. Three phase inverter and converters
2. Buck Boost Converter
3. Matrix Converter
4. Inverter and converter topologies
5. Fuzzy based control of Electric Drives.
6. Optimal design of Electrical Machines
7. BLDC and SR motor Drives
Likelihood is sometimes difficult to compute because of the complexity of the model. Approximate Bayesian computation (ABC) makes it easy to sample parameters generating approximation of observed data.
The document describes the process of integration by partial fractions. It explains that when the degree of the numerator is greater than or equal to the denominator, division is performed. Otherwise, the denominator is factored. For each linear factor, the numerator is written as a sum of terms divided by that factor. For multiple linear factors, the numerator is written as a sum of terms divided by powers of that factor. Examples are provided to demonstrate these steps.
The document discusses velocity and acceleration in terms of position x. It provides equations showing that acceleration is equal to the derivative of velocity with respect to time, and the derivative of velocity with respect to x. It also gives examples of using these relationships to find velocity and position as functions of x and time for particles where acceleration is given.
This document summarizes a numerical analysis of a mixed finite element method for Reissner-Mindlin plates. It presents the continuous and discrete formulations, including the model problem, variational formulation, finite element spaces, and properties like ellipticity and inf-sup conditions. Key results shown are the well-posedness of both the continuous and discrete problems, and stability estimates for the solutions that are independent of the mesh size and plate thickness.
This document discusses sequence alignment. It defines sequence alignment as finding the best match between two sequences, such as DNA or proteins, by inserting gaps. It presents the basics of sequence alignment, including defining optimal alignments as those with the fewest edits (substitutions, insertions, deletions), dynamic programming to calculate optimal alignments through an edit cost matrix, and using this approach to find the optimal alignment between the sequences "mean" and "name".
1) 0! equals 1 based on the algebraic definition of the factorial function and properties of the gamma function.
2) The variance formula s^2 is derived from the definition of variance and using algebraic manipulations to simplify the expression in terms of sums of the data values.
3) It is shown that the sample mean x can be expressed as the population mean x' plus the sum of the standardized deviations from the mean, divided by n.
4) The equations for the slope b and y-intercept a of the linear regression line are derived by taking expectations of both sides of the linear equation and rearranging terms involving sums of the data values.
EXPERT SYSTEMS AND SOLUTIONS
Project Center For Research in Power Electronics and Power Systems
IEEE 2010 , IEEE 2011 BASED PROJECTS FOR FINAL YEAR STUDENTS OF B.E
Email: expertsyssol@gmail.com,
Cell: +919952749533, +918608603634
www.researchprojects.info
OMR, CHENNAI
IEEE based Projects For
Final year students of B.E in
EEE, ECE, EIE,CSE
M.E (Power Systems)
M.E (Applied Electronics)
M.E (Power Electronics)
Ph.D Electrical and Electronics.
Training
Students can assemble their hardware in our Research labs. Experts will be guiding the projects.
EXPERT GUIDANCE IN POWER SYSTEMS POWER ELECTRONICS
We provide guidance and codes for the for the following power systems areas.
1. Deregulated Systems,
2. Wind power Generation and Grid connection
3. Unit commitment
4. Economic Dispatch using AI methods
5. Voltage stability
6. FLC Control
7. Transformer Fault Identifications
8. SCADA - Power system Automation
we provide guidance and codes for the for the following power Electronics areas.
1. Three phase inverter and converters
2. Buck Boost Converter
3. Matrix Converter
4. Inverter and converter topologies
5. Fuzzy based control of Electric Drives.
6. Optimal design of Electrical Machines
7. BLDC and SR motor Drives
División de un polinomio entre un binomioprofesorluis
The document is a video cast that demonstrates dividing a polynomial by a binomial. It shows the step-by-step operations to divide the polynomial 5x^3 - 2x^2 + 3x + 1 by the binomial x + 1. The division results in the quotient of 5x^2 - 7x + 10 and the remainder of 0x - 9. The video cast provides credit to the source of an image and details about the software and music used.
The document discusses generating functions. It defines a generating function G(z) as a power series representation of a sequence <an> = a0, a1, a2, ... . Properties of generating functions include that differentiating or multiplying generating functions results in new generating functions, and that generating functions can reveal relationships between sequences.
This document contains tables summarizing formulas for derivatives, trigonometric functions, logarithms. It lists the derivative of common functions like x, x^2, sinx, cosx. It also provides trigonometric formulas for sine, cosine, tangent of sum and difference of angles. Formulas are given for logarithms, including the change of base formula and properties of logarithms.
X2 T08 01 inequalities and graphs (2010)Nigel Simmons
The document discusses solving inequalities and graphs. It provides an example of solving the inequality x^2 ≤ 1/(x+2). It also discusses the oblique asymptote of a hyperbola. Additionally, it shows that the graph y=x is increasing for all x≥0. It proves that the sum of the first n positive integers is greater than or equal to the integral of x from 0 to n. Finally, it uses mathematical induction to show an inequality relating the sum of the first n positive integers to 4n+3/6.
The document discusses solving inequalities and graphs. It provides an example of solving the inequality x^2 ≤ 1/(x+2). It also discusses the oblique asymptote of a hyperbola. Additionally, it shows that the graph y=x is increasing for all x≥0. It proves that the sum of the first n positive integers is greater than or equal to the integral of x from 0 to n. Finally, it uses mathematical induction to show an inequality relating the sum of the first n positive integers to 4n+3/6.
The document contains solutions to optimization problems using techniques like Lagrange multipliers. The summaries are:
1) Solutions to differential equations involving sin, cos, and exponential terms.
2) Solutions to differential equations involving sin and polynomial terms.
3) Solutions to a differential equation involving polynomials and exponential terms.
The document discusses how the first derivative can be used to analyze curves geometrically. It indicates that the first derivative measures the slope of the tangent line to a curve. If the derivative is positive, the curve is increasing; if negative, decreasing; and if zero, the curve is stationary. As an example, it finds the stationary points of the curve y = 3x^2 - x^3 and determines that they are a minimum at (0,0) and an inflection point at (2,4).
1. The document provides examples and explanations of concepts in solid geometry including the three dimensional coordinate system, distance formula in three space, and equations for planes, spheres, cylinders, quadric surfaces, and their graphs.
2. Key solid geometry concepts covered include plotting points in three dimensions, finding distances between points and distances from a point to a plane, midpoint formulas, and standard and general equations for planes, spheres, cylinders, ellipsoids, hyperboloids, and paraboloids.
3. Examples are given for graphing equations of a plane, sphere, circular cylinder, parabolic cylinder, and their relation to the standard equations.
The document discusses techniques for uncertainty propagation and constructing surrogate models. It describes Monte Carlo sampling, analytic techniques, and perturbation techniques for propagating uncertainties in nonlinear models. It also discusses constructing surrogate models such as polynomial, Kriging, and Gaussian process models to approximate computationally expensive discretized partial differential equation models for applications such as Bayesian calibration and design. The document provides an example of constructing a quadratic surrogate model to approximate the response of a heat equation model.
The document provides examples of factoring sums and differences of powers of polynomials with real and complex coefficients. It demonstrates factoring polynomials using the sums and differences of cubes theorem and sums and differences of odd powers theorem. Examples factor polynomials of the form x^n - y^n, x^n + y^n, t^7 - w^7, x - y^10, and more.
This document provides 98 examples of functions and their derivatives. The functions include polynomials, trigonometric functions like sine, cosine, tangent, inverse trigonometric functions, exponential functions, logarithmic functions, and combinations of these functions.
1) Bayesian inference in hidden Markov models aims to compute the posterior distribution p(x1:n|y1:n) and marginal likelihoods p(y1:n) given observed data y1:n. This can be done using filtering recursions to calculate the marginal distributions p(xn|y1:n) and likelihoods p(y1:n).
2) Sequential Monte Carlo (SMC) methods, also known as particle filters, provide a way to approximate the filtering distributions and likelihoods using a set of random samples or "particles". Importance sampling is used to assign importance weights to the particles to represent the target distributions.
3) Sequential importance sampling (SIS) recursively propag
The document describes deriving a linear conformal mapping between two-dimensional Euclidean spaces given corresponding points. It involves:
1) Finding transformation parameters a, b, c, d that minimize the error between mapped and corresponding points using least squares.
2) Determining the parity parameter p, which specifies the handedness of the coordinate systems, by choosing the p value with the smaller error.
3) Estimating the variance of the transformation parameters a and b by treating the input points as random variables and using properties of variance.
Matematika Ekonomi Diferensiasi fungsi sederhanalia170494
This document discusses differentiation rules for simple functions including:
- Constant functions have a derivative of 0
- Polynomial functions have derivatives that are the polynomial with the exponent decreased by 1 and multiplied by the exponent
- The product rule, quotient rule, and chain rule for differentiation
- Examples of applying these rules to differentiate a variety of functions
APEX INSTITUTE was conceptualized in May 2008, keeping in view the dreams of young students by the vision & toil of Er. Shahid Iqbal. We had a very humble beginning as an institute for IIT-JEE / Medical, with a vision to provide an ideal launch pad for serious JEE students . We actually started to make a difference in the way students think and approach problems. We started to develop ways to enhance students IQ. We started to leave an indelible mark on the students who have undergone APEX training. That is why APEX INSTITUTE is very well known of its quality of education
This document discusses differential equations. It defines differential equations as equations relating an unknown function and one or more of its derivatives. It describes the order and degree of differential equations. Several examples of first order differential equations are given and solved using techniques like direct integration, variable separation, and solving homogeneous equations. The key steps for solving first order differential equations are outlined.
The document discusses an educator's efforts to integrate technology into their alternative high school program. They have introduced blogging across several classrooms and workshops on topics like blogging, gaming, and using cell phones in the classroom. The educator is pursuing further education and looks forward to collaborating with others in an educational technology program.
Making marketing personal in a distracted world. Make your online and offline marketing be the most effective it can be with a mix of advertising, marketing PR, and social media.
El documento divide la Argentina en cuatro bolsones (NOA, Cuyo, Centro Litoral y Sur Cercano) para fines comerciales. Cada bolson se enfoca en ciertos productos agrícolas desarrollados y por desarrollar, y tiene un referente comercial asignado. La división busca organizar las operaciones comerciales de la unidad agronegocios a través del país.
The document discusses protecting fine art collections from loss. It notes that transit is a major risk as art is moved between locations. Catastrophic events also pose risks to art collections. The author interviews an expert who notes the importance of properly insuring art for its appraised value and obtaining documentation of authenticity and provenance to prove ownership if a loss occurs.
División de un polinomio entre un binomioprofesorluis
The document is a video cast that demonstrates dividing a polynomial by a binomial. It shows the step-by-step operations to divide the polynomial 5x^3 - 2x^2 + 3x + 1 by the binomial x + 1. The division results in the quotient of 5x^2 - 7x + 10 and the remainder of 0x - 9. The video cast provides credit to the source of an image and details about the software and music used.
The document discusses generating functions. It defines a generating function G(z) as a power series representation of a sequence <an> = a0, a1, a2, ... . Properties of generating functions include that differentiating or multiplying generating functions results in new generating functions, and that generating functions can reveal relationships between sequences.
This document contains tables summarizing formulas for derivatives, trigonometric functions, logarithms. It lists the derivative of common functions like x, x^2, sinx, cosx. It also provides trigonometric formulas for sine, cosine, tangent of sum and difference of angles. Formulas are given for logarithms, including the change of base formula and properties of logarithms.
X2 T08 01 inequalities and graphs (2010)Nigel Simmons
The document discusses solving inequalities and graphs. It provides an example of solving the inequality x^2 ≤ 1/(x+2). It also discusses the oblique asymptote of a hyperbola. Additionally, it shows that the graph y=x is increasing for all x≥0. It proves that the sum of the first n positive integers is greater than or equal to the integral of x from 0 to n. Finally, it uses mathematical induction to show an inequality relating the sum of the first n positive integers to 4n+3/6.
The document discusses solving inequalities and graphs. It provides an example of solving the inequality x^2 ≤ 1/(x+2). It also discusses the oblique asymptote of a hyperbola. Additionally, it shows that the graph y=x is increasing for all x≥0. It proves that the sum of the first n positive integers is greater than or equal to the integral of x from 0 to n. Finally, it uses mathematical induction to show an inequality relating the sum of the first n positive integers to 4n+3/6.
The document contains solutions to optimization problems using techniques like Lagrange multipliers. The summaries are:
1) Solutions to differential equations involving sin, cos, and exponential terms.
2) Solutions to differential equations involving sin and polynomial terms.
3) Solutions to a differential equation involving polynomials and exponential terms.
The document discusses how the first derivative can be used to analyze curves geometrically. It indicates that the first derivative measures the slope of the tangent line to a curve. If the derivative is positive, the curve is increasing; if negative, decreasing; and if zero, the curve is stationary. As an example, it finds the stationary points of the curve y = 3x^2 - x^3 and determines that they are a minimum at (0,0) and an inflection point at (2,4).
1. The document provides examples and explanations of concepts in solid geometry including the three dimensional coordinate system, distance formula in three space, and equations for planes, spheres, cylinders, quadric surfaces, and their graphs.
2. Key solid geometry concepts covered include plotting points in three dimensions, finding distances between points and distances from a point to a plane, midpoint formulas, and standard and general equations for planes, spheres, cylinders, ellipsoids, hyperboloids, and paraboloids.
3. Examples are given for graphing equations of a plane, sphere, circular cylinder, parabolic cylinder, and their relation to the standard equations.
The document discusses techniques for uncertainty propagation and constructing surrogate models. It describes Monte Carlo sampling, analytic techniques, and perturbation techniques for propagating uncertainties in nonlinear models. It also discusses constructing surrogate models such as polynomial, Kriging, and Gaussian process models to approximate computationally expensive discretized partial differential equation models for applications such as Bayesian calibration and design. The document provides an example of constructing a quadratic surrogate model to approximate the response of a heat equation model.
The document provides examples of factoring sums and differences of powers of polynomials with real and complex coefficients. It demonstrates factoring polynomials using the sums and differences of cubes theorem and sums and differences of odd powers theorem. Examples factor polynomials of the form x^n - y^n, x^n + y^n, t^7 - w^7, x - y^10, and more.
This document provides 98 examples of functions and their derivatives. The functions include polynomials, trigonometric functions like sine, cosine, tangent, inverse trigonometric functions, exponential functions, logarithmic functions, and combinations of these functions.
1) Bayesian inference in hidden Markov models aims to compute the posterior distribution p(x1:n|y1:n) and marginal likelihoods p(y1:n) given observed data y1:n. This can be done using filtering recursions to calculate the marginal distributions p(xn|y1:n) and likelihoods p(y1:n).
2) Sequential Monte Carlo (SMC) methods, also known as particle filters, provide a way to approximate the filtering distributions and likelihoods using a set of random samples or "particles". Importance sampling is used to assign importance weights to the particles to represent the target distributions.
3) Sequential importance sampling (SIS) recursively propag
The document describes deriving a linear conformal mapping between two-dimensional Euclidean spaces given corresponding points. It involves:
1) Finding transformation parameters a, b, c, d that minimize the error between mapped and corresponding points using least squares.
2) Determining the parity parameter p, which specifies the handedness of the coordinate systems, by choosing the p value with the smaller error.
3) Estimating the variance of the transformation parameters a and b by treating the input points as random variables and using properties of variance.
Matematika Ekonomi Diferensiasi fungsi sederhanalia170494
This document discusses differentiation rules for simple functions including:
- Constant functions have a derivative of 0
- Polynomial functions have derivatives that are the polynomial with the exponent decreased by 1 and multiplied by the exponent
- The product rule, quotient rule, and chain rule for differentiation
- Examples of applying these rules to differentiate a variety of functions
APEX INSTITUTE was conceptualized in May 2008, keeping in view the dreams of young students by the vision & toil of Er. Shahid Iqbal. We had a very humble beginning as an institute for IIT-JEE / Medical, with a vision to provide an ideal launch pad for serious JEE students . We actually started to make a difference in the way students think and approach problems. We started to develop ways to enhance students IQ. We started to leave an indelible mark on the students who have undergone APEX training. That is why APEX INSTITUTE is very well known of its quality of education
This document discusses differential equations. It defines differential equations as equations relating an unknown function and one or more of its derivatives. It describes the order and degree of differential equations. Several examples of first order differential equations are given and solved using techniques like direct integration, variable separation, and solving homogeneous equations. The key steps for solving first order differential equations are outlined.
The document discusses an educator's efforts to integrate technology into their alternative high school program. They have introduced blogging across several classrooms and workshops on topics like blogging, gaming, and using cell phones in the classroom. The educator is pursuing further education and looks forward to collaborating with others in an educational technology program.
Making marketing personal in a distracted world. Make your online and offline marketing be the most effective it can be with a mix of advertising, marketing PR, and social media.
El documento divide la Argentina en cuatro bolsones (NOA, Cuyo, Centro Litoral y Sur Cercano) para fines comerciales. Cada bolson se enfoca en ciertos productos agrícolas desarrollados y por desarrollar, y tiene un referente comercial asignado. La división busca organizar las operaciones comerciales de la unidad agronegocios a través del país.
The document discusses protecting fine art collections from loss. It notes that transit is a major risk as art is moved between locations. Catastrophic events also pose risks to art collections. The author interviews an expert who notes the importance of properly insuring art for its appraised value and obtaining documentation of authenticity and provenance to prove ownership if a loss occurs.
The document summarizes new COBRA laws under the American Recovery and Reinvestment Act (ARRA) that provide subsidized health coverage through COBRA. Key provisions include a temporary 65% premium subsidy for qualified beneficiaries between September 2008 and December 2009, an extended election period, income limits for eligibility, required notices, and penalties for noncompliance. Employers must determine eligible beneficiaries, issue revised notices, and establish procedures to receive reimbursement for the subsidized premium amounts.
The document presents a Green's function-based method for transient analysis of multiconductor transmission lines. It begins with an introduction to existing time-domain modeling techniques and their issues. It then describes modeling transmission lines as a vector Sturm-Liouville problem and using the spectral representation of the Green's function to solve it. Numerical results are presented for lines with both frequency-independent and dependent parameters. The method provides a rational model representation of transmission line behavior.
Positive and negative solutions of a boundary value problem for a fractional ...journal ijrtem
: In this work, we study a boundary value problem for a fractional
q, -difference equation. By
using the monotone iterative technique and lower-upper solution method, we get the existence of positive or
negative solutions under the nonlinear term is local continuity and local monotonicity. The results show that we
can construct two iterative sequences for approximating the solutions
This document describes an automatic Bayesian method for numerical integration. It begins by introducing the problem of multivariate integration and current approaches like Monte Carlo integration that have limitations. It then presents the Bayesian cubature algorithm which chooses sample points and weights to minimize the error in approximating an integral. This is done by modeling the integrand as a Gaussian process, deriving identities relating the error to properties of the covariance kernel, and estimating its hyperparameters. The kernel used is shift-invariant, allowing fast matrix computations. Simulation results show Bayesian cubature achieves high accuracy with fewer samples compared to other methods.
NTHU AI Reading Group: Improved Training of Wasserstein GANsMark Chang
This document summarizes an NTHU AI Reading Group presentation on improved training of Wasserstein GANs. The presentation covered Wasserstein GANs, the derivation of the Kantorovich-Rubinstein duality, difficulties with weight clipping in WGANs, and a proposed gradient penalty method. It also outlined experiments on architecture robustness using LSUN bedrooms and character-level language modeling.
Approximative Bayesian Computation (ABC) methods allow approximating intractable likelihoods in Bayesian inference. ABC rejection sampling simulates parameters from the prior and keeps those where simulated data is close to observed data. ABC Markov chain Monte Carlo creates a Markov chain over the parameters where proposed moves are accepted if simulated data is similar to observed. Population Monte Carlo and ABC-MCMC improve on rejection sampling by using sequential importance sampling and MCMC moves to propose parameters in high density regions.
This document proposes a Mahalanobis kernel for hyperspectral image classification based on probabilistic principal component analysis (PPCA). The PPCA model captures the cluster structure of each class in a lower-dimensional subspace. This model is used to define the hyperparameters for the Mahalanobis kernel. Experimental results on simulated and real hyperspectral images show the PPCA-based Mahalanobis kernel achieves better classification accuracy than Gaussian and PCA-based kernels. Future work includes optimizing the hyperparameters and estimating the number of principal components.
This document provides a summary of common mathematical and calculus formulas:
1) It lists many basic mathematical formulas such as logarithmic, exponential, trigonometric, and algebraic formulas.
2) It also presents various differentiation formulas including the chain rule, product rule, quotient rule, and formulas for deriving trigonometric, exponential, and logarithmic functions.
3) Integration formulas and theorems are covered including integration by parts, substitutions, and the Fundamental Theorem of Calculus.
This document discusses RNA secondary structure prediction. It begins by defining RNA and its primary and secondary structures. The problem of predicting secondary structure given a primary sequence is introduced. Approaches include physical/chemical experiments and computational prediction using a single sequence. The Nussinov and Zuker algorithms are described. Nussinov finds the structure with maximum base pairs using dynamic programming. Zuker finds the minimum free energy structure also using dynamic programming. Addressing pseudoknots and other interactions is discussed as future work.
1. The document provides definitions and identities relating to theoretical computer science topics like asymptotic analysis, series, recurrences, and discrete structures.
2. It includes definitions for big O, Omega, and Theta notation used to describe the asymptotic behavior of functions.
3. Recurrences, like the master method, are presented for analyzing the runtime of divide-and-conquer algorithms.
4. Discrete structures like combinations, Stirling numbers, and trees are also covered, along with their properties and relationships.
The document discusses statistical representation of random inputs in continuum models. It provides examples of representing random fields using the Karhunen-Loeve expansion, which expresses a random field as the sum of orthogonal deterministic basis functions and random variables. Common choices for the covariance function in the expansion include the radial basis function and limiting cases of fully correlated and uncorrelated fields. The covariance function can be approximated from samples of the random field to enable representation in applications.
1. The document discusses the estimation problem in geostatistics, which is determining the value of a quantity Zo at an unmeasured point (xo,yo) based on measurements at nearby points.
2. It describes kriging as the best linear unbiased estimator that takes into account the spatial structure and correlation between points to estimate values across a field. The kriging system minimizes the variance of errors in estimates.
3. A simple kriging example is shown using a computer program to generate data, perform kriging, and display the kriged estimates and associated error variances across the field.
This document provides information on shell theory and the modeling of various shell structures. It begins by defining a shell as a thin-walled three-dimensional structure. It then discusses shell thickness and functions. The document also covers modeling shells using the static-geometric hypothesis of Kirchhoff-Love and thin shell theory. It provides the mathematical foundations of differential geometry as applied to shell surfaces. Finally, it gives examples of generating surfaces for different shell types like ellipsoids, hyperboloids, cones, paraboloids, cylinders, and applies meshing techniques.
constant strain triangular which is used in analysis of triangular in finite element method with the help of shape function and natural coordinate system.
Low Complexity Regularization of Inverse ProblemsGabriel Peyré
This document discusses regularization techniques for inverse problems. It begins with an overview of compressed sensing and inverse problems, as well as convex regularization using gauges. It then discusses performance guarantees for regularization methods using dual certificates and L2 stability. Specific examples of regularization gauges are given for various models including sparsity, structured sparsity, low-rank, and anti-sparsity. Conditions for exact recovery using random measurements are provided for sparse vectors and low-rank matrices. The discussion concludes with the concept of a minimal-norm certificate for the dual problem.
The document summarizes key concepts from Lesson 28 on Lagrange multipliers, including:
1) Restating the method of Lagrange multipliers and providing justifications through elimination, graphical, and symbolic approaches.
2) Discussing second order conditions for constrained optimization problems, noting the importance of compact feasibility sets.
3) Providing the theorem on Lagrange multipliers and examples of its application to problems with more than two variables or multiple constraints.
The document summarizes key concepts from Lesson 28 on Lagrange multipliers, including:
1) Restating the method of Lagrange multipliers and providing justifications through symbolic, graphical, and other perspectives.
2) Discussing second order conditions for constrained optimization problems, noting the importance of compact feasibility sets.
3) Providing the definition of compact sets and stating the compact set method for finding extreme values of a function over a compact domain.
Nonconvex Compressed Sensing with the Sum-of-Squares MethodTasuku Soma
This document presents a method for nonconvex compressed sensing using the sum-of-squares (SoS) method. It formulates q-minimization, which requires fewer samples than l1-minimization but is nonconvex, as a polynomial optimization problem. The SoS method is then applied to obtain a pseudoexpectation operator satisfying a pseudo robust null space property, guaranteeing stable signal recovery. Specifically, it shows that for a Rademacher measurement matrix, with the number of measurements scaling quadratically in the sparsity s, the SoS method finds a solution x^ satisfying ||x^-x||_q ≤ O(σs(x)q) + ε, providing nearly q-stable recovery.
This document discusses uncertainty propagation techniques for determining statistics of model outputs given uncertain model inputs. It covers analytic approaches for linear models, perturbation methods for nonlinear models, and direct sampling methods. It also discusses computing moments using stochastic spectral methods like stochastic Galerkin with polynomial chaos. The document provides an example of applying perturbation and sampling methods to a nonlinear oscillator model with uncertain parameters. It compares the results from both approaches to the true natural frequency. Finally, it discusses uncertainty quantification for a HIV model and the use of prediction intervals in nuclear power plant design.
Measurement of Rule-based LTLf Declarative Process SpecificationsClaudio Di Ciccio
The document describes a method for calculating the probability of an Reactive Constraint (RCon) specification being satisfied, violated, or unaffected given a trace or log of event data. An RCon consists of an activation formula (φα) and target formula (φτ). The probability of a single RCon is calculated by determining the maximum likelihood estimate of the target formula occurring given the activation occurred, based on event labellings in the traces. The probability of an RCon specification (a set of RCon rules) is also defined based on the probabilities of individual RCon rules. This allows interestingness measures to be applied to entire specifications rather than just individual rules.
You know you're an adult when every check-up gets you down. View What Going to the Doctor is Like as an Adult and more funny posts on salty vixen stories & more-saltyvixenstories.com
Enhance Your Viewing Experience with Gold IPTV- Tips and Tricks for 2024.pdfXtreame HDTV
In the ever-evolving landscape of digital entertainment, IPTV (Internet Protocol Television) has emerged as a popular alternative to traditional cable and satellite TV services. Offering unparalleled flexibility, a vast selection of channels, and affordability, IPTV services like Gold IPTV have revolutionized the way we consume television content. This comprehensive guide will delve into everything you need to know about Gold IPTV, its features, benefits, setup process, and how it can enhance your viewing experience.
Unlocking the Secrets of IPTV App Development_ A Comprehensive Guide.pdfWHMCS Smarters
With IPTV apps, you can access and stream live TV, on-demand movies, series, and other content you like online. Viewers have more flexibility and customization of content to watch. To develop the best IPTV app that functions, you must combine creative problem-solving skills and technical knowledge. This post will look into the details of IPTV app development, so keep reading to learn more.
The cats, Sunny and Rishi, are brothers who live with their sister, Jessica, and their grandmother, Susie. They work as cleaners but wish to seek other kinds of employment that are better than their current jobs. New career adventures await Sunny and Rishi!
Tom Cruise Daughter: An Insight into the Life of Suri Cruisegreendigital
Tom Cruise is a name that resonates with global audiences for his iconic roles in blockbuster films and his dynamic presence in Hollywood. But, beyond his illustrious career, Tom Cruise's personal life. especially his relationship with his daughter has been a subject of public fascination and media scrutiny. This article delves deep into the life of Tom Cruise daughter, Suri Cruise. Exploring her upbringing, the influence of her parents, and her current life.
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Introduction: The Fame Surrounding Tom Cruise Daughter
Suri Cruise, the daughter of Tom Cruise and Katie Holmes, has been in the public eye since her birth on April 18, 2006. Thanks to the media's relentless coverage, the world watched her grow up. As the daughter of one of Hollywood's most renowned actors. Suri has had a unique upbringing marked by privilege and scrutiny. This article aims to provide a comprehensive overview of Suri Cruise's life. Her relationship with her parents, and her journey so far.
Early Life of Tom Cruise Daughter
Birth and Immediate Fame
Suri Cruise was born in Santa Monica, California. and from the moment she came into the world, she was thrust into the limelight. Her parents, Tom Cruise and Katie Holmes. Were one of Hollywood's most talked-about couples at the time. The birth of their daughter was a anticipated event. and Suri's first public appearance in Vanity Fair magazine set the tone for her life in the public eye.
The Impact of Celebrity Parents
Having celebrity parents like Tom Cruise and Katie Holmes comes with its own set of challenges and privileges. Suri Cruise's early life marked by a whirlwind of media attention. paparazzi, and public interest. Despite the constant spotlight. Her parents tried to provide her with an upbringing that was as normal as possible.
The Influence of Tom Cruise and Katie Holmes
Tom Cruise's Parenting Style
Tom Cruise known for his dedication and passion in both his professional and personal life. As a father, Cruise has described as loving and protective. His involvement in the Church of Scientology, but, has been a point of contention and has influenced his relationship with Suri. Cruise's commitment to Scientology has reported to be a significant factor in his and Holmes' divorce and his limited public interactions with Suri.
Katie Holmes' Role in Suri's Life
Katie Holmes has been Suri's primary caregiver since her separation from Tom Cruise in 2012. Holmes has provided a stable and grounded environment for her daughter. She moved to New York City with Suri to start a new chapter in their lives away from the intense scrutiny of Hollywood.
Suri Cruise: Growing Up in the Spotlight
Media Attention and Public Interest
From stylish outfits to everyday activities. Suri Cruise has been a favorite subject for tabloids and entertainment news. The constant media attention has shaped her childhood. Despite this, Suri has managed to maintain a level of normalcy, thanks to her mother's efforts.
Morgan Freeman is Jimi Hendrix: Unveiling the Intriguing Hypothesisgreendigital
In celebrity mysteries and urban legends. Few narratives capture the imagination as the hypothesis that Morgan Freeman is Jimi Hendrix. This fascinating theory posits that the iconic actor and the legendary guitarist are, in fact, the same person. While this might seem like a far-fetched notion at first glance. a deeper exploration reveals a rich tapestry of coincidences, speculative connections. and a surprising alignment of life events fueling this captivating hypothesis.
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Introduction to the Hypothesis: Morgan Freeman is Jimi Hendrix
The idea that Morgan Freeman is Jimi Hendrix stems from a mix of historical anomalies, physical resemblances. and a penchant for myth-making that surrounds celebrities. While Jimi Hendrix's official death in 1970 is well-documented. some theorists suggest that Hendrix did not die but instead reinvented himself as Morgan Freeman. a man who would become one of Hollywood's most revered actors. This article aims to delve into the various aspects of this hypothesis. examining its origins, the supporting arguments. and the cultural impact of such a theory.
The Genesis of the Theory
Early Life Parallels
The hypothesis that Morgan Freeman is Jimi Hendrix begins by comparing their early lives. Jimi Hendrix, born Johnny Allen Hendrix in Seattle, Washington, on November 27, 1942. and Morgan Freeman, born on June 1, 1937, in Memphis, Tennessee, have lived very different lives. But, proponents of the theory suggest that the five-year age difference is negligible and point to Freeman's late start in his acting career as evidence of a life lived before under a different identity.
The Disappearance and Reappearance
Jimi Hendrix's death in 1970 at the age of 27 is a well-documented event. But, theorists argue that Hendrix's death staged. and he reemerged as Morgan Freeman. They highlight Freeman's rise to prominence in the early 1970s. coinciding with Hendrix's supposed death. Freeman's first significant acting role came in 1971 on the children's television show "The Electric Company," a mere year after Hendrix's passing.
Physical Resemblances
Facial Structure and Features
One of the most compelling arguments for the hypothesis that Morgan Freeman is Jimi Hendrix lies in the physical resemblance between the two men. Analyzing photographs, proponents point out similarities in facial structure. particularly the cheekbones and jawline. Both men have a distinctive gap between their front teeth. which is rare and often highlighted as a critical point of similarity.
Voice and Mannerisms
Supporters of the theory also draw attention to the similarities in their voices. Jimi Hendrix known for his smooth, distinctive speaking voice. which, according to some, resembles Morgan Freeman's iconic, deep, and soothing voice. Additionally, both men share certain mannerisms. such as their calm demeanor and eloquent speech patterns.
Artistic Parallels
Musical and Acting Talents
Jimi Hendrix was regarded as one of t
The Evolution and Impact of Tom Cruise Long Hairgreendigital
Tom Cruise is one of Hollywood's most iconic figures, known for his versatility, charisma, and dedication to his craft. Over the decades, his appearance has been almost as dynamic as his filmography, with one aspect often drawing significant attention: his hair. In particular, Tom Cruise long hair has become a defining feature in various phases of his career. symbolizing different roles and adding layers to his on-screen characters. This article delves into the evolution of Tom Cruise long hair, its impact on his roles. and its influence on popular culture.
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Introduction
Tom Cruise long hair has often been more than a style choice. it has been a significant element of his persona both on and off the screen. From the tousled locks of the rebellious Maverick in "Top Gun" to the sleek, sophisticated mane in "Mission: Impossible II." Cruise's hair has played a pivotal role in shaping his image and the characters he portrays. This article explores the various stages of Tom Cruise long hair. Examining how this iconic look has evolved and influenced his career and broader fashion trends.
Early Days: The Emergence of a Style Icon
The 1980s: The Birth of a Star
In the early stages of his career during the 1980s, Tom Cruise sported a range of hairstyles. but in "Top Gun" (1986), his hair began to gain significant attention. Though not long by later standards, his hair in this film was longer than the military crew cuts associated with fighter pilots. adding a rebellious edge to his character, Pete "Maverick" Mitchell.
Risky Business: The Transition Begins
In "Risky Business" (1983). Tom Cruise's hair was short but longer than the clean-cut styles dominant at the time. This look complemented his role as a high school student stepping into adulthood. embodying a sense of youthful freedom and experimentation. It was a precursor to the more dramatic hair transformations in his career.
The 1990s: Experimentation and Iconic Roles
Far and Away: Embracing Length
One of the first films in which Tom Cruise embraced long hair was "Far and Away" (1992). Playing the role of Joseph. an Irish immigrant in 1890s America, Cruise's long, hair added authenticity to his character's rugged and determined persona. This look was a stark departure from his earlier. more polished styles and marked the beginning of a more adventurous phase in his hairstyle choices.
Interview with the Vampire: Gothic Elegance
In "Interview with the Vampire" (1994). Tom Cruise long hair reached new lengths of sophistication and elegance. Portraying the vampire Lestat. Cruise's flowing blonde locks were integral to the character's ethereal and timeless allure. This hairstyle not only suited the gothic aesthetic of the film but also showcased Cruise's ability to transform his appearance for a role.
Mission: Impossible II: The Pinnacle of Long Hair
One of the most memorable instances of Tom Cruise long hair came in "Mission: Impossible II" (2000). His character, Ethan
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3. 1
1.1.
n
· · · x1 · · · xn y1 · · · yn · · ·
· · · x1 · · · xi xi+1 · · · xn y1 · · · yi · · · yn · · ·
3 38
· · · x1 · · · xi xi+1 · · · xn y1 · · · yi · · · yn · · ·
4. x = x1 · · · xn y = y1 · · · yn :
Ti (x, y) = xi+1 · · · xn y1 · · · yi , 1 ≤ i ≤ n − 1.
:
n
?
C ⊆ F n)
n ( ( 4 38
C
) . comma-free .
5. 1.2. comma-free
: C ⊆ Fqn , Fq = {0, 1, . . . , q − 1}.
n q
C ⊆ Fqn ρ(C):
comma-free
ρ(C) = min d(z, Ti (x, y)),
x, y, z ∈ C i = 1, . . . , n − 1.
d Hamming ,
(ρ(C) − 1)/2
ρ(C) > 0 comma-free
ρ(C) ( ). 5 38
comma-free .
6. 2
(Levenshtein,1971)
{Qi : i = 0, . . . , q − 1} |Qi | = τi , i =
Zn q ,
0, . . . , q − 1. s, s = 1, . . . , n − 1,
Zn
x − y ≡ s (mod n)
ρ x, y,
x ∈ Qi , y ∈ Qj , i, j = 0, . . . , q − 1, i = j.
6 38
{Qi : i = 0, . . . , q − 1} (n, τ0 , . . . , τq−1 , ρ)
DSS(n, {τ0 , . . . , τq−1 }, q, ρ).
(difference system of sets).
7. Qi (i = 0, . . . , q − 1) m,
DSS DSS(n, m, q, ρ).
regular,
s, 1 ≤ s ≤ n − 1, x − y ≡ s (mod n) ρ ,
DSS perfect.
DSS (redundancy):
q−1
|Qi |.
r=
i=0
n, q, ρ, DSS ,
(optimal). 7 38
DSS n, q, ρ, rq (n, ρ)
: .
29. • 1 ≤ x ≤ v. 1 ≤ x ≤ v.
x x
. , ,
partition-typem-DP (v, K1 , λ1 )
x DSS(v, K2 , q, ρ )
DSS(3v, K1 ∪ K2 , m + q, ρ),
=⇒
ρ = min{v − λ1 + ρ , x}, r = x + v.
29 38
37. 5
[1] C. Fan, J. Lei, Y. Chang, Constructions of difference systems of sets and disjoint difference
families, IEEE Trans. Inform. Theory, 54(2008), 3195-3201.
[2] C. Fan, J. Lei, Constructions of difference systems of sets from partition-type difference pack-
ings, to submit.
[3] C. Fan, J. Lei, Constructions of difference systems of sets from finite projective geometries, to
submit.
[4] R. Fuji-Hara, A. Munemasa, V. D. Tonchev, Hyperplane partitions and difference systems of
sets, J. Combin. Theory, Ser. A 113 (2006) 1689 1698.
[5] V. I. Levenshtein, One method of constructing quasi codes providing synchronization in the
presence od errors, Problems Inform, Transmission, 7(1971), 215-222.
[6] Y. Mathon, V. D. Tonchev, Difference systems of sets and cyclotomy, Discrete Math.,
308(2008), 2959-2969.
[7] V. D. Tonchev, Difference systems of sets and code synchronization, Rend. Sem. Mat. Messina
Ser. II 9(2003), 217-226.
37 38
[8] V. D. Tonchev, Partitions of difference sets and code synchronization, Finite Fields Appl.
11(2005), 601-621.
[9] V. D. Tonchev, H. Wang, An algorithm for optimal difference systems of sets, J. Combin.
Optim., 14(2007), 165-175.
[10] H. Wang, A new bound for difference systems of sets, J. Comb. Math. Comb. Comput.,
58(2006), 161-168.