This document contains lecture materials for a mathematics course, including:
- The course details such as instructor contact information and intended learning outcomes.
- An overview of topics to be covered in algebra and calculus, including mathematical induction, matrices, derivatives, and limits.
- Examples of proofs by mathematical induction, such as proving formulas for sums of integers and proving statements about divisibility.
- The course assessment breakdown and expectations for assignments, quizzes, and exams.
The document is a lecture on partial fraction decomposition. It begins by defining partial fraction decomposition as expressing a rational function as a sum of simpler fractions. It then provides examples of decomposing fractions with non-repeated linear factors, a repeated linear factor, and a fraction with a quadratic factor. The examples show setting up the partial fraction decomposition equation and solving for the coefficients by considering the zeros of the factors.
This document discusses mathematical induction. It defines induction as generalizing statements from facts and provides two steps to prove a statement P(n) is true for all natural numbers n: 1) the basis step verifies P(1) is true, and 2) the inductive step shows P(k) implies P(k+1) is true for all positive integers k. Several examples are provided to illustrate these steps, such as proving formulas for the sum of the first n positive integers and odd integers, and the sum of terms in a geometric progression.
The document provides solutions to exercises on mathematical induction. It presents proofs for 7 formulas involving sums and sequences. Each proof follows the same structure: show the base case is true, assume the statement is true for some integer k, and prove it is true for k+1 using algebraic manipulations. This establishes the formula is true for all positive integers n by the principle of mathematical induction.
The document provides solutions to exercises on mathematical induction. It presents proofs for 7 formulas involving sums and sequences. Each proof follows the same structure: show the base case is true, assume the statement is true for some integer k, and prove it is true for k+1 using algebraic manipulations. This establishes the formula is true for all positive integers n by the principle of mathematical induction.
The document proves mathematical statements using induction. It shows:
1) Induction can be used to prove the summation formula 1 + 2 + 3 + ... + n = n(n+1)/2. It shows the base case of n=1 is true, and assumes the formula is true for n=k to prove it is true for n=k+1.
2) Induction can prove inequalities, like n < 2n for all positive integers n. It shows the base case is true and assumes the statement is true for n=k to prove it is true for n=k+1.
3) Induction can prove divisibility properties, like n3 - n being
The document proves mathematical statements using induction. It shows:
1) Induction can be used to prove the summation formula 1 + 2 + 3 + ... + n = n(n+1)/2. It shows the base case of n=1 is true, and assumes the formula is true for n=k to prove it is true for n=k+1.
2) Induction can prove inequalities, like n < 2n for all positive integers n. It shows the base case is true and assumes the statement is true for n=k to prove it is true for n=k+1.
3) Induction can prove divisibility properties, like n3 - n being
This document contains lecture notes for Engineering Mathematics - I. It covers topics in differential calculus including differential calculus I, II, and III. For each unit, it provides introductions to concepts and worked examples of finding derivatives of various functions up to the nth order. These include standard functions like exponential, trigonometric, logarithmic, and algebraic functions. Formulas for derivative rules like the product rule, quotient rule, and chain rule are also stated.
This document contains an exam for ECES 302 with 4 problems. It specifies the exam conditions such as being closed book/notes and lasting 50 minutes. Problem 1 involves drawing and labeling signals x1(t) and x2(t). Problem 2 involves determining properties of signals including periodicity and even parts. Problem 3 evaluates whether a given system is linear, time invariant, and BIBO stable. Problem 4 determines the output signal y2(t) given input x2(t) for a linear time invariant system and evaluates causality.
The document is a lecture on partial fraction decomposition. It begins by defining partial fraction decomposition as expressing a rational function as a sum of simpler fractions. It then provides examples of decomposing fractions with non-repeated linear factors, a repeated linear factor, and a fraction with a quadratic factor. The examples show setting up the partial fraction decomposition equation and solving for the coefficients by considering the zeros of the factors.
This document discusses mathematical induction. It defines induction as generalizing statements from facts and provides two steps to prove a statement P(n) is true for all natural numbers n: 1) the basis step verifies P(1) is true, and 2) the inductive step shows P(k) implies P(k+1) is true for all positive integers k. Several examples are provided to illustrate these steps, such as proving formulas for the sum of the first n positive integers and odd integers, and the sum of terms in a geometric progression.
The document provides solutions to exercises on mathematical induction. It presents proofs for 7 formulas involving sums and sequences. Each proof follows the same structure: show the base case is true, assume the statement is true for some integer k, and prove it is true for k+1 using algebraic manipulations. This establishes the formula is true for all positive integers n by the principle of mathematical induction.
The document provides solutions to exercises on mathematical induction. It presents proofs for 7 formulas involving sums and sequences. Each proof follows the same structure: show the base case is true, assume the statement is true for some integer k, and prove it is true for k+1 using algebraic manipulations. This establishes the formula is true for all positive integers n by the principle of mathematical induction.
The document proves mathematical statements using induction. It shows:
1) Induction can be used to prove the summation formula 1 + 2 + 3 + ... + n = n(n+1)/2. It shows the base case of n=1 is true, and assumes the formula is true for n=k to prove it is true for n=k+1.
2) Induction can prove inequalities, like n < 2n for all positive integers n. It shows the base case is true and assumes the statement is true for n=k to prove it is true for n=k+1.
3) Induction can prove divisibility properties, like n3 - n being
The document proves mathematical statements using induction. It shows:
1) Induction can be used to prove the summation formula 1 + 2 + 3 + ... + n = n(n+1)/2. It shows the base case of n=1 is true, and assumes the formula is true for n=k to prove it is true for n=k+1.
2) Induction can prove inequalities, like n < 2n for all positive integers n. It shows the base case is true and assumes the statement is true for n=k to prove it is true for n=k+1.
3) Induction can prove divisibility properties, like n3 - n being
This document contains lecture notes for Engineering Mathematics - I. It covers topics in differential calculus including differential calculus I, II, and III. For each unit, it provides introductions to concepts and worked examples of finding derivatives of various functions up to the nth order. These include standard functions like exponential, trigonometric, logarithmic, and algebraic functions. Formulas for derivative rules like the product rule, quotient rule, and chain rule are also stated.
This document contains an exam for ECES 302 with 4 problems. It specifies the exam conditions such as being closed book/notes and lasting 50 minutes. Problem 1 involves drawing and labeling signals x1(t) and x2(t). Problem 2 involves determining properties of signals including periodicity and even parts. Problem 3 evaluates whether a given system is linear, time invariant, and BIBO stable. Problem 4 determines the output signal y2(t) given input x2(t) for a linear time invariant system and evaluates causality.
This document contains notes from a CS 332 algorithms class. It discusses topics like merge sort, solving recurrences using substitution and iteration methods, asymptotic notation, and examples of solving recurrence relations. Homework 1 details are provided, covering merge sort and analysis, solving recurrences, and asymptotic notation review.
A proof induction has two standard parts. The first establishing tha.pdfleventhalbrad49439
A proof induction has two standard parts. The first establishing that a theorem is true for some
small (usually almost always trivial. Next, an inductive hypothesis is the theorem is assumed to
be true for all cases up to some the theorem is then shown to be true for the next value proves
the theorem (as long as k is finite). As an example, we prove that the Fibonacci numbers, F_4 =
5, ..., F_i = F_i-1 + F_i-2, satisfy F_i
Solution
The induction proof works by verifying whether the example works for all possible values.. Let
us see how it works..
For example :: Consider E(n) 12 + 22 + 32 + ... + n2 = (1/6). n.(n+1).(2n+1)
Now, we need to prove that the above example is true for all possible values..
So, first we consider n = 1.. For n = 1, obviously the sequence is true..
For n=1, LHS = 12
RHS = (1/6).1.(1+1).(2+1) = 6/6 = 1
here LHS = RHS..
Now we have to prove that : if E(k) is true, then E(k+1) is true..
Let us consider E(K) is true..
We have to prove that property is valid for n = k+1
We have to prove: 12 + 22 + 32 + ... + k2 + (k+1)2 = (1/6).(k+1).(k+2)(2k+3)
Left side
= 12 + 22 + 32 + ... + k2 + (k+1)2
= (12 + 22 + 32 + ... + k2) + (k+1)(k+1)
= (1/6). k.(k+1).(2k+1) + (k+1)(k+1)
= (1/6).(k+1). [ k(2k+1) + 6(k+1)]
= (1/6).(k+1).(2 k2 + 7k + 6)
Right side
= (1/6).(k+1).(k+2)(2k+3)
= (1/6).(k+1).(2k2 + 3k + 4k + 6)
Here, LHS = RHS.. I.e., this is true for E(k+1) therefore our assumption is true..
That means the equation is true for all possible values by principle of induction...
1) Mathematical induction is a method of proof that can be used to prove statements for all positive integers. It involves showing that a statement is true for n=1, and assuming it is true for an integer k to prove it is true for k+1.
2) The document provides an example using mathematical induction to prove the formula Sn = n(n+1) for the sum of the first n even integers.
3) Finite differences are used to determine if a sequence has a quadratic model by seeing if the second differences are constant. The example finds the quadratic model n^2 for the sequence 1, 4, 9, 16, 25, 36.
This document provides an overview and summary of a 4-lecture course on complex analysis. The lectures will cover algebraic preliminaries and elementary functions of complex variables in the first two lectures. The final two lectures will cover more applied material on phasors and complex representations of waves. Recommended textbooks are provided for basic and more advanced material.
1) The document uses mathematical induction to prove several formulas.
2) It demonstrates proofs for formulas like 1 + 3 + 5 + ... + (2n-1) = n^2 and 2 + 4 + ... + 2n = n(n+1).
3) The proofs follow the standard structure of mathematical induction, showing the base case is true and using the induction hypothesis to show if the statement is true for n it is also true for n+1.
Development of implicit rational runge kutta schemes for second order ordinar...Alexander Decker
This document describes the development of a one-stage implicit rational Runge-Kutta method for solving second-order ordinary differential equations. The method is derived by taking Taylor series expansions of the solution equations about the point (xn, yn, yn') and equating terms with the same powers of the step size h. This results in expressions for the parameters of the method in terms of the leading order truncation errors. The method is consistent, as the parameters satisfy constraints that ensure the method approaches the true solution in the limit as h approaches 0.
Aieee 2012 Solved Paper by Prabhat GauravSahil Gaurav
The document contains 4 multiple choice questions with solutions:
1. The equation e
sin x
– e
–sin x
– 4 = 0 has exactly one real root.
2. If the vectors ˆˆa and b are two unit vectors, and the vectors ˆ ˆˆ ˆc a 2b and d 5a 4b= + = − are perpendicular to each other, then the angle between ˆˆa and b is 3π.
3. If a spherical balloon is filled with 4500π cubic meters of helium gas and leaks at a rate of 72π cubic meters per minute, then the rate the radius decreases 49 minutes later is 9/9
This document describes an experiment using the Newton-Raphson method to find the roots of nonlinear equations in MATLAB. Two nonlinear equations are given as an example: x^2+xy=10 and y+3xy^2=57. The MATLAB code implements the Newton-Raphson method to iteratively calculate the roots. For the given equations, the method converges after 15 iterations with roots of x=4.3937 and y=-2.1178. The experiment demonstrated the use of the Newton-Raphson method to solve nonlinear equations numerically in MATLAB.
This document discusses amortized analysis, which is a technique for analyzing algorithms where the average cost per operation is small even if some operations are more expensive. It presents three methods for amortized analysis: aggregate analysis, accounting analysis, and potential analysis. As an example, it analyzes the cost of dynamic table resizing using these three amortized analysis methods and shows that the amortized cost per operation is O(1) even though individual operations may cost more.
Pedagogy of Mathematics - Part II (Numbers and Sequence - Ex 2.1), Numbers and Sequence, Maths, IX std Maths, Samacheerkalvi maths, II year B.Ed., Pedagogy, Mathematics, Euclid's Division Lemma, Euclid's Division algorithm,
The document summarizes factoring techniques in mathematics. It provides examples of factoring different types of expressions, including: factoring by grouping like terms; factoring the difference of two squares; factoring a perfect square trinomial; factoring a simple trinomial; factoring using the sum and difference of cubes formula; and factoring expressions involving xn ± yn when n is even, a multiple of 3, or odd. It also presents four word problems applying these factoring techniques to non-routine examples. The document aims to teach various methods of factoring polynomials.
This document provides solutions to 10 math problems from a marking scheme for Class XII. The problems cover a range of calculus and vector topics. Key steps are shown in the solutions. For example, in problem 1, integrals involving logarithmic and trigonometric functions are solved using substitution techniques. In problem 3, vectors are used to prove an identity involving the sum of two unit vectors and the angle between them. Across the solutions, various mathematical concepts are applied concisely to arrive at the answers.
Worried about due completion of math homework? You can count on us. In Homework1.com we have excellent infrastructure to serve you even at the most critical hours of assignment submission! Try our service today and get excellent score in math exam.
The document provides information about math topics covered on the SAT and GRE exams. It then gives details on a math class schedule and topics to be covered over 8 weeks, including algebra with 1 and more than 1 variable, arithmetic, geometry, and advanced math questions. Handouts are provided for each topic. The last part gives strategies and examples for solving different types of math problems.
This document contains the solutions manual for the 4th edition of the textbook "Advanced Modern Engineering Mathematics" by Glyn James. It provides detailed solutions to selected exercises from each chapter of the textbook, covering topics such as matrix analysis, ordinary differential equations, vector calculus, complex variables, Laplace transforms, z-transforms, Fourier series and transforms, partial differential equations, optimization, and probability and statistics. The solutions manual is intended for adoption by lecturers using the main textbook.
1. Al-Khwarizmi wrote the first treatise on algebra, Hisab al-jabr w’al-muqabala, in 820 AD, which provided methods for solving equations. The word "algebra" is derived from "al-jabr" in the title, meaning restoration.
2. Pedro Nunes published the first known European translation of Al-Khwarizmi's work in 1567. Nunes demonstrated geometric representations of algebraic concepts like expanding brackets and completing the square.
3. Al-Sijzi proved geometrically in the 10th century that the binomial expansion of (a + b)3 is a3 + 3ab(a + b) +
ملزمة الرياضيات للصف السادس العلمي الاحيائي - التطبيقيanasKhalaf4
ملزمة الرياضيات للصف السادس العلمي
الاحيائي التطبيقي
باللغة الانكليزية
لمدارس المتميزين والمدارس الأهلية
Chapter one: complex numbers
Dr. Anas dheyab Khalaf
This document summarizes a research article about Seidel's method, an iterative method for solving systems of linear equations. Seidel's method ensures convergence if the system satisfies diagonal dominance after each iteration. The document outlines the Seidel's method iteration formula and proves that it generates a Cauchy sequence that converges to a unique fixed point, providing a contraction mapping. It also discusses conditions for the convergence of Seidel's method, relating it to the eigenvalues of matrices used in the iteration formula.
This document contains notes from a CS 332 algorithms class. It discusses topics like merge sort, solving recurrences using substitution and iteration methods, asymptotic notation, and examples of solving recurrence relations. Homework 1 details are provided, covering merge sort and analysis, solving recurrences, and asymptotic notation review.
A proof induction has two standard parts. The first establishing tha.pdfleventhalbrad49439
A proof induction has two standard parts. The first establishing that a theorem is true for some
small (usually almost always trivial. Next, an inductive hypothesis is the theorem is assumed to
be true for all cases up to some the theorem is then shown to be true for the next value proves
the theorem (as long as k is finite). As an example, we prove that the Fibonacci numbers, F_4 =
5, ..., F_i = F_i-1 + F_i-2, satisfy F_i
Solution
The induction proof works by verifying whether the example works for all possible values.. Let
us see how it works..
For example :: Consider E(n) 12 + 22 + 32 + ... + n2 = (1/6). n.(n+1).(2n+1)
Now, we need to prove that the above example is true for all possible values..
So, first we consider n = 1.. For n = 1, obviously the sequence is true..
For n=1, LHS = 12
RHS = (1/6).1.(1+1).(2+1) = 6/6 = 1
here LHS = RHS..
Now we have to prove that : if E(k) is true, then E(k+1) is true..
Let us consider E(K) is true..
We have to prove that property is valid for n = k+1
We have to prove: 12 + 22 + 32 + ... + k2 + (k+1)2 = (1/6).(k+1).(k+2)(2k+3)
Left side
= 12 + 22 + 32 + ... + k2 + (k+1)2
= (12 + 22 + 32 + ... + k2) + (k+1)(k+1)
= (1/6). k.(k+1).(2k+1) + (k+1)(k+1)
= (1/6).(k+1). [ k(2k+1) + 6(k+1)]
= (1/6).(k+1).(2 k2 + 7k + 6)
Right side
= (1/6).(k+1).(k+2)(2k+3)
= (1/6).(k+1).(2k2 + 3k + 4k + 6)
Here, LHS = RHS.. I.e., this is true for E(k+1) therefore our assumption is true..
That means the equation is true for all possible values by principle of induction...
1) Mathematical induction is a method of proof that can be used to prove statements for all positive integers. It involves showing that a statement is true for n=1, and assuming it is true for an integer k to prove it is true for k+1.
2) The document provides an example using mathematical induction to prove the formula Sn = n(n+1) for the sum of the first n even integers.
3) Finite differences are used to determine if a sequence has a quadratic model by seeing if the second differences are constant. The example finds the quadratic model n^2 for the sequence 1, 4, 9, 16, 25, 36.
This document provides an overview and summary of a 4-lecture course on complex analysis. The lectures will cover algebraic preliminaries and elementary functions of complex variables in the first two lectures. The final two lectures will cover more applied material on phasors and complex representations of waves. Recommended textbooks are provided for basic and more advanced material.
1) The document uses mathematical induction to prove several formulas.
2) It demonstrates proofs for formulas like 1 + 3 + 5 + ... + (2n-1) = n^2 and 2 + 4 + ... + 2n = n(n+1).
3) The proofs follow the standard structure of mathematical induction, showing the base case is true and using the induction hypothesis to show if the statement is true for n it is also true for n+1.
Development of implicit rational runge kutta schemes for second order ordinar...Alexander Decker
This document describes the development of a one-stage implicit rational Runge-Kutta method for solving second-order ordinary differential equations. The method is derived by taking Taylor series expansions of the solution equations about the point (xn, yn, yn') and equating terms with the same powers of the step size h. This results in expressions for the parameters of the method in terms of the leading order truncation errors. The method is consistent, as the parameters satisfy constraints that ensure the method approaches the true solution in the limit as h approaches 0.
Aieee 2012 Solved Paper by Prabhat GauravSahil Gaurav
The document contains 4 multiple choice questions with solutions:
1. The equation e
sin x
– e
–sin x
– 4 = 0 has exactly one real root.
2. If the vectors ˆˆa and b are two unit vectors, and the vectors ˆ ˆˆ ˆc a 2b and d 5a 4b= + = − are perpendicular to each other, then the angle between ˆˆa and b is 3π.
3. If a spherical balloon is filled with 4500π cubic meters of helium gas and leaks at a rate of 72π cubic meters per minute, then the rate the radius decreases 49 minutes later is 9/9
This document describes an experiment using the Newton-Raphson method to find the roots of nonlinear equations in MATLAB. Two nonlinear equations are given as an example: x^2+xy=10 and y+3xy^2=57. The MATLAB code implements the Newton-Raphson method to iteratively calculate the roots. For the given equations, the method converges after 15 iterations with roots of x=4.3937 and y=-2.1178. The experiment demonstrated the use of the Newton-Raphson method to solve nonlinear equations numerically in MATLAB.
This document discusses amortized analysis, which is a technique for analyzing algorithms where the average cost per operation is small even if some operations are more expensive. It presents three methods for amortized analysis: aggregate analysis, accounting analysis, and potential analysis. As an example, it analyzes the cost of dynamic table resizing using these three amortized analysis methods and shows that the amortized cost per operation is O(1) even though individual operations may cost more.
Pedagogy of Mathematics - Part II (Numbers and Sequence - Ex 2.1), Numbers and Sequence, Maths, IX std Maths, Samacheerkalvi maths, II year B.Ed., Pedagogy, Mathematics, Euclid's Division Lemma, Euclid's Division algorithm,
The document summarizes factoring techniques in mathematics. It provides examples of factoring different types of expressions, including: factoring by grouping like terms; factoring the difference of two squares; factoring a perfect square trinomial; factoring a simple trinomial; factoring using the sum and difference of cubes formula; and factoring expressions involving xn ± yn when n is even, a multiple of 3, or odd. It also presents four word problems applying these factoring techniques to non-routine examples. The document aims to teach various methods of factoring polynomials.
This document provides solutions to 10 math problems from a marking scheme for Class XII. The problems cover a range of calculus and vector topics. Key steps are shown in the solutions. For example, in problem 1, integrals involving logarithmic and trigonometric functions are solved using substitution techniques. In problem 3, vectors are used to prove an identity involving the sum of two unit vectors and the angle between them. Across the solutions, various mathematical concepts are applied concisely to arrive at the answers.
Worried about due completion of math homework? You can count on us. In Homework1.com we have excellent infrastructure to serve you even at the most critical hours of assignment submission! Try our service today and get excellent score in math exam.
The document provides information about math topics covered on the SAT and GRE exams. It then gives details on a math class schedule and topics to be covered over 8 weeks, including algebra with 1 and more than 1 variable, arithmetic, geometry, and advanced math questions. Handouts are provided for each topic. The last part gives strategies and examples for solving different types of math problems.
This document contains the solutions manual for the 4th edition of the textbook "Advanced Modern Engineering Mathematics" by Glyn James. It provides detailed solutions to selected exercises from each chapter of the textbook, covering topics such as matrix analysis, ordinary differential equations, vector calculus, complex variables, Laplace transforms, z-transforms, Fourier series and transforms, partial differential equations, optimization, and probability and statistics. The solutions manual is intended for adoption by lecturers using the main textbook.
1. Al-Khwarizmi wrote the first treatise on algebra, Hisab al-jabr w’al-muqabala, in 820 AD, which provided methods for solving equations. The word "algebra" is derived from "al-jabr" in the title, meaning restoration.
2. Pedro Nunes published the first known European translation of Al-Khwarizmi's work in 1567. Nunes demonstrated geometric representations of algebraic concepts like expanding brackets and completing the square.
3. Al-Sijzi proved geometrically in the 10th century that the binomial expansion of (a + b)3 is a3 + 3ab(a + b) +
ملزمة الرياضيات للصف السادس العلمي الاحيائي - التطبيقيanasKhalaf4
ملزمة الرياضيات للصف السادس العلمي
الاحيائي التطبيقي
باللغة الانكليزية
لمدارس المتميزين والمدارس الأهلية
Chapter one: complex numbers
Dr. Anas dheyab Khalaf
This document summarizes a research article about Seidel's method, an iterative method for solving systems of linear equations. Seidel's method ensures convergence if the system satisfies diagonal dominance after each iteration. The document outlines the Seidel's method iteration formula and proves that it generates a Cauchy sequence that converges to a unique fixed point, providing a contraction mapping. It also discusses conditions for the convergence of Seidel's method, relating it to the eigenvalues of matrices used in the iteration formula.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
Lec001 math1 Fall 2021 .pdf
1. Page 1 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Bas 011 Mathematics 1
Teacher :
Dr. Khaled El Sayed El Helow.
khaled_elhelw@cic-cairo.com
Tutorial
Eng. Mohamed El Sayed Eng. Dina AbdEl Hamid
Moha_elsayed@cic-cairo.com dina_abdelhamied@cic-cairo.com
Eng. Amera Okasha
amira_okasha@cic-cairo.com
2. Page 2 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
3 Credit Hrs
Lecture 1
Program Intended Learning Outcomes (By Code)
Knowledge &
Understanding
Intellectual
Skills
Professional
Skills
General
Skills
K1, K5 I1, I2, I7 P1,P7 G6
3. Page 3 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Contents
Algebra:
Mathematical induction (ILO)[K1, K5, G6]
- Binomial Theorem (ILO) [K1, K5, I1, I2, I7, P1, P7, G6]
- Partial fractions- Matrices (ILO) [K1, K5, I1, I2, I7, P1, P7, G6]
- Solving System of linear equations (ILO)[K1, K5, I1, I2, I7, P1, P7, G6]
- Solving algebraic equations numerically (ILO) [K1, K5, I1, I2, I7,
P1, P7, G6]
4. Page 4 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
- Eigen values and Eigen vectors. (ILO) [K1, K5, I1, I2, I7, P1, P7, G6]
Calculus:
Functions (ILO)[K1, K5, G6]
-Limits (ILO)[K1, K5, G6]
-Continuity (ILO)[K1, K5, I1, I2, I7, P1, P7, G6]
-Derivatives (ILO)[K1, K5, I1, I2, I7, P1, P7, G6]
-Indefinite forms (ILO)[K1, K5, I1, I2, I7, P1, P7, G6]
-Taylor and Maclaurine Theorems (ILO)[K1, K5, I1, I2, I7, P1, P7, G6]-
Some mathematical applications on Derivatives (ILO)[K1, K5, I1,
5. Page 5 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
I2, I7, P1, P7, G6]- Introduction to partial differentiation. (ILO)[K1, K5,
I1, I2, I7, P1, P7, G6]
Cohort 2017
100 Marks
50 final
exam
50 Class
work
20
midterm
30 marks
7
Attendanc
11
Assignments
12
Quizzes
Best two quizzes
6. Page 6 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Induction has always existed in mathematics, but the
formal concept of mathematical induction did not appear
until it was developed by Maurolycus in 1575 to prove
that the sum of the first n odd numbers is n2
.
Mathematical Induction
Mathematical induction is a mathematical proof technique,
most commonly used to establish a given statement for
7. Page 7 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
all natural numbers. The simplest and most common form of
mathematical induction infers that a statement involving a
natural number n holds for all values of n. The proof consists
of two steps:
1. The basis:
Prove that the statement holds for the first natural number n.
2. The inductive step
8. Page 8 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Prove that, if the statement holds for some natural number k,
then the statement holds for k + 1.
Example:
Prove that 1 + 2 + 3 + ⋯ ⋯ + 𝑛𝑛 =
𝑛𝑛(𝑛𝑛+1)
2
by using
mathematical induction.
Solution:
9. Page 9 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
The basis step (we need to show that the statement is hold for
𝑛𝑛 = 1.)
L.H.S = 1 (first term in the left hand side)
R.H.S =
1(1 + 1)
2
= 1
The both sides are equal so the statement is hold for 𝑛𝑛 = 1.
The inductive step:
Suppose the statement is hold at 𝑛𝑛 = 𝑘𝑘. i.e.:
10. Page 10 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
1 + 2 + 3 + ⋯ ⋯ + 𝑘𝑘 =
𝑘𝑘(𝑘𝑘+1)
2
(1)
So we need to prove the statement at the next step
(𝑛𝑛 = 𝑘𝑘 + 1). i.e. we need to prove:
1 + 2 + 3 + ⋯ ⋯ + (𝑘𝑘 + 1) =
(𝑘𝑘+1)(𝑘𝑘+2)
2
( )
( )
1
3
2
1
1
3
2
1
L.H.S
+
+
+
+
+
=
+
+
+
+
+
=
k
k
k
11. Page 11 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
The assumption from eq(1)
( )
( )
( )
( )( )
R.H.S
2
2
1
1
2
1
1
2
1
L.H.S
=
+
+
=
+
+
=
+
+
+
=
k
k
k
k
k
k
k
12. Page 12 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Example:
Prove that 1 + 3 + 5 ⋯ ⋯ + (2𝑛𝑛 − 1) = 𝑛𝑛2
by using
mathematical induction.
Solution:
The basis step (we need to show that the statement is hold for
𝑛𝑛 = 1.)
L.H.S = 1 (first term in the left hand side)
R.H.S = (1)2
= 1
13. Page 13 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
The both sides are equal so the statement is hold for 𝑛𝑛 = 1.
The inductive step:
Suppose the statement is hold at 𝑛𝑛 = 𝑘𝑘. i.e.:
1 + 3 + 5 ⋯ ⋯ + (2𝑘𝑘 − 1) = 𝑘𝑘2
(1)
So we need to prove the statement at the next step
(𝑛𝑛 = 𝑘𝑘 + 1). i.e. we need to prove:
1 + 3 + 5 ⋯ ⋯ + (2𝑘𝑘 + 1) = (𝑘𝑘 + 1)2
14. Page 14 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
( )
( ) ( )
1
2
1
2
5
3
1
1
2
5
3
1
L.H.S
+
+
−
+
+
+
=
+
+
+
+
+
=
k
k
k
The assumption from eq(1)
L.H.S = 𝑘𝑘2
+ (2𝑘𝑘 + 1) = (𝑘𝑘 + 1)2
= 𝑅𝑅. 𝐻𝐻. 𝑆𝑆
15. Page 15 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Example:
Prove that 8|32𝑛𝑛
− 1 ( 32𝑛𝑛
− 1 is divided by 8) by using
mathematical induction.
Solution:
The base step (we need to show that the statement is hold for
𝑛𝑛 = 1.)
32(1)
− 1 = 9 − 1 = 8. Therefore the statement is divisible
by 8.
16. Page 16 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
The inductive step:
Suppose the statement is hold at 𝑛𝑛 = 𝑘𝑘. i.e.:
8|32𝑘𝑘
− 1 (1)
So we need to prove the statement at the next step (𝑛𝑛 = 𝑘𝑘 +
1). i.e. we need to prove: 8|32(𝑘𝑘+1)
− 1
17. Page 17 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
( )
( )
[ ]
( )
( ) 8
1
3
9
1
9
1
3
9
1
1
1
3
9
1
3
9
1
3
3
1
3
1
3
2
2
2
2
2
2
2
2
1
2
+
−
=
−
+
−
=
−
+
−
=
−
=
−
=
−
=
− +
+
k
k
k
k
k
k
k
18. Page 18 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Clear that 8 is divisible by 8 and 32𝑘𝑘
− 1 is divisible by 8
form the assumption (eq(1))
So, 32(𝑘𝑘+1)
− 1 = 9(32𝑘𝑘
− 1) + 8 is divisible by 8.
Therefore the statement is true at 𝑛𝑛 = 𝑘𝑘 + 1. Thus it is true
for all n.
Example:
Prove that 5|7𝑛𝑛
− 2𝑛𝑛
by using mathematical induction.
Solution:
19. Page 19 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
The base step (we need to show that the statement is hold for
𝑛𝑛 = 1.)
71
− 21
= 5. Therefore the statement is divisible by 5.
The inductive step:
Suppose the statement is hold at 𝑛𝑛 = 𝑘𝑘. i.e.:
5|7𝑘𝑘
− 2𝑘𝑘
(1)
20. Page 20 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
So we need to prove the statement at the next step (𝑛𝑛 = 𝑘𝑘 +
1). i.e. we need to prove: 5|7𝑘𝑘+1
− 2𝑘𝑘+1
( )
[ ]
( )
( ) ( ) k
k
k
k
k
k
k
k
k
k
k
k
k
k
k
2
2
7
2
7
7
2
2
2
7
2
7
7
2
2
2
2
7
7
2
2
7
7
2
7 1
1
−
+
−
=
−
+
−
=
−
+
−
=
−
=
− +
+
21. Page 21 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
7𝑘𝑘+1
− 2𝑘𝑘+1
= 7(7𝑘𝑘
− 2𝑘𝑘) + 5 .2𝑘𝑘
Clear that 5. 2𝑘𝑘
is divisible by 5 and 7𝑘𝑘
− 2𝑘𝑘
is divisible by 5
form the assumption (eq(1))
So, 7𝑘𝑘+1
− 2𝑘𝑘+1
= 7(7𝑘𝑘
− 2𝑘𝑘) + 5. 2𝑘𝑘
is divisible by 5.
Therefore the statement is true at 𝑛𝑛 = 𝑘𝑘 + 1. Thus it is true
for all n.
22. Page 22 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Example:
Prove that
1 2
+ 2 2
+ 3 2
+ ... + n 2
= n (n + 1) (2n + 1)/ 6
For all positive integers n.
Solution
Statement P (n) is defined by
1 2
+ 2 2
+ 3 2
+ ... + n 2
= n (n + 1) (2n + 1)/ 2
STEP 1: We first show that p (1) is true.
23. Page 23 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Left Side = 1 2
= 1
Right Side = 1 (1 + 1) (2*1 + 1)/ 6 = 1
Both sides of the statement are equal hence p (1) is true.
STEP 2: We now assume that p (k) is true
1 2
+ 2 2
+ 3 2
+ ... + k 2
= k (k + 1) (2k + 1)/ 6
and show that p (k + 1) is true by adding (k + 1) 2
to both
sides of the above statement
1 2
+ 2 2
+ 3 2
+ ... + k 2
+ (k + 1) 2
=[ k (k + 1) (2k + 1)/ 6] + (k + 1) 2
24. Page 24 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Set common denominator and factor k + 1 on the right side
= (k + 1) [ k (2k + 1)+ 6 (k + 1) ] /6
Expand k (2k + 1)+ 6 (k + 1)
= (k + 1) [ 2k 2
+ 7k + 6 ] /6
Now factor 2k 2
+ 7k + 6.
= (k + 1) [ (k + 2) (2k + 3) ] /6
We have started from the statement P(k) and have shown that
25. Page 25 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
1 2
+ 2 2
+ 3 2
+ ... + k 2
+ (k + 1) 2
= (k + 1) [ (k + 2) (2k + 3) ] /6
Which is the statement P(k + 1).
Example:
Use mathematical induction to prove that
1 3
+ 2 3
+ 3 3
+ ... + n 3
= n 2
(n + 1) 2
/ 4
for all positive integers n.
Solution :
Statement P (n) is defined by
26. Page 26 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
1 3
+ 2 3
+ 3 3
+ ... + n 3
= n 2
(n + 1) 2
/ 4
STEP 1: We first show that p (1) is true.
Left Side = 1 3
= 1
Right Side = 1 2
(1 + 1) 2
/ 4 = 1
hence p (1) is true.
STEP 2: We now assume that p (k) is true
1 3
+ 2 3
+ 3 3
+ ... + k 3
= k 2
(k + 1) 2
/ 4
27. Page 27 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
add (k + 1) 3
to both sides
1 3
+ 2 3
+ 3 3
+ ... + k 3
+ (k + 1) 3
= [k 2
(k + 1) 2
/ 4 ]+ (k + 1)
3
factor (k + 1) 2
on the right side
= (k + 1) 2
[ k 2
/ 4 + (k + 1) ]
set to common denominator and group
= (k + 1) 2
[ k 2
+ 4 k + 4 ] / 4
= (k + 1) 2
[ (k + 2) 2
] / 4
28. Page 28 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
We have started from the statement P(k) and have shown that
1 3
+ 2 3
+ 3 3
+ ... + k 3
+ (k + 1) 3
= (k + 1) 2
[ (k + 2) 2
] / 4
Which is the statement P(k + 1).
Example:
Prove that for any positive integer number n , n 3
+ 2 n is
divisible by 3
Solution:
29. Page 29 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Statement P (n) is defined by
n 3
+ 2 n is divisible by 3
STEP 1: We first show that p (1) is true. Let n = 1 and
calculate n 3
+ 2n
1 3
+ 2(1) = 3
3 is divisible by 3
hence p (1) is true.
STEP 2: We now assume that p (k) is true
30. Page 30 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
k 3
+ 2 k is divisible by 3
is equivalent to
k 3
+ 2 k = 3 M , where M is a positive integer.
We now consider the algebraic expression (k + 1) 3
+ 2 (k +
1); expand it and group like terms
(k + 1) 3
+ 2 (k + 1) = k 3
+ 3 k 2
+ 5 k + 3
= [ k 3
+ 2 k] + [3 k 2
+ 3 k + 3]
= 3 M + 3 [ k 2
+ k + 1 ] = 3 [ M + k 2
+ k + 1 ]
31. Page 31 of 31
Dr. Khaled El Helow Mathematics 1 (BAS 011) Fall 2021 Lec 1
Basic Science Department
Hence (k + 1) 3
+ 2 (k + 1) is also divisible by 3 and therefore
statement P(k + 1) is true.