Newton's Backward Interpolation explained with example. History of interpolation along with it's advantages and disadvantages. Applications of interpolation in computer sciences.
Newton's Backward Interpolation explained with example. History of interpolation along with it's advantages and disadvantages. Applications of interpolation in computer sciences.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
Modelo exponencial propuesto como la funcion que define la concentracion de CO2 mediante la aplicacion de la diferencial de una funcion. El cambio climático es un fenómeno que está asociado a la intervención humana por la producción y acumulación de gases de efecto invernadero en la atmosfera, como el CO2
Statistics for Economics Midterm 2 Cheat SheetLaurel Ayuyao
Cheat sheet for second midterm in Statistics for Economics (ECON 30330) at University of Notre Dame. Covers topics such as discrete and continuous probability distribution, types of distributions, and linear combinations of random variables.
Response Surface in Tensor Train format for Uncertainty QuantificationAlexander Litvinenko
We apply low-rank Tensor Train format to solve PDEs with uncertain coefficients. First, we approximate uncertain permeability coefficient in TT format, then the operator and then apply iterations to solve stochastic Galerkin system.
Statistics for Economics Final Exam Cheat SheetLaurel Ayuyao
Cheat sheet for statistics for economics final exam at the University of Notre Dame. Exam covers sampling and sampling distribution, interval estimation, and hypothesis testing.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
Modelo exponencial propuesto como la funcion que define la concentracion de CO2 mediante la aplicacion de la diferencial de una funcion. El cambio climático es un fenómeno que está asociado a la intervención humana por la producción y acumulación de gases de efecto invernadero en la atmosfera, como el CO2
Statistics for Economics Midterm 2 Cheat SheetLaurel Ayuyao
Cheat sheet for second midterm in Statistics for Economics (ECON 30330) at University of Notre Dame. Covers topics such as discrete and continuous probability distribution, types of distributions, and linear combinations of random variables.
Response Surface in Tensor Train format for Uncertainty QuantificationAlexander Litvinenko
We apply low-rank Tensor Train format to solve PDEs with uncertain coefficients. First, we approximate uncertain permeability coefficient in TT format, then the operator and then apply iterations to solve stochastic Galerkin system.
Statistics for Economics Final Exam Cheat SheetLaurel Ayuyao
Cheat sheet for statistics for economics final exam at the University of Notre Dame. Exam covers sampling and sampling distribution, interval estimation, and hypothesis testing.
On Frechet Derivatives with Application to the Inverse Function Theorem of Or...BRNSS Publication Hub
In this paper, the Frechet differentiation of functions on Banach space was reviewed. We also investigated that it is algebraic properties and its relation by applying the concept to the inverse function theorem of the ordinary differential equations. To achieve the feat, some important results were considered which finally concluded that the Frechet derivative can extensively be useful in the study of ordinary differential equations.
8 fixed point theorem in complete fuzzy metric space 8 megha shrivastavaBIOLOGICAL FORUM
ABSTRACT: In this paper our works establish a new fixed point theorem for a different type of mapping in complete fuzzy metric space. Here we define a mapping by using some proved results and obtain a result on the actuality of fixed points. We inspired by the concept of Hossein Piri and Poom Kumam [15]. They introduced the fixed point theorem for generalized F-suzuki -contraction mappings in complete b-metric space. Next Robert plebaniak [16] express his idea by result “New generalized fuzzy metric space and fixed point theorem in fuzzy metric space”. This paper also induces comparing of the outcome with existing result in the literature.
Keywords: Fuzzy set, Fuzzy metric space, Cauchy sequence Non- decreasing sequence, Fixed point, Mapping.
First principle, power rule, derivative of constant term, product rule, quotient rule, chain rule, derivatives of trigonometric functions and their inverses, derivatives of exponential functions and natural logarithmic functions, implicit differentiation, parametric differentiation, L'Hopital's rule
A Note on “ Geraghty contraction type mappings”IOSRJM
In this paper, a fixed point result for Geraghty contraction type mappings has been proved. Karapiner [2] assumes to be continuous. In this paper, the continuity condition of has been replaced by a weaker condition and fixed point result has been proved. Thus the result proved generalizes many known results in the literature [2-7].
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Stochastic Calculus, Summer 2014, July 22,Lecture 7Con.docxdessiechisomjj4
Stochastic Calculus, Summer 2014, July 22,
Lecture 7
Connection of the Stochastic Calculus and Partial Differential
Equation
Reading for this lecture:
(1) [1] pp. 125-175
(2) [2] pp. 239-280
(3) Professor R. Kohn’s lecture notes PDE for Finance, in particular Lecture 1
http://www.math.nyu.edu/faculty/kohn/pde_finance.html
Today throughout the lecture we will be using the following lemma.
Lemma 1. Assume we are given a random variable X on (Ω, F, P) and a filtration
(Ft)t≥0. Then E(X|Ft) is a martingale with respect to filtration (Ft)t≥0.
Proof. The proof is very easy and follows from the tower property of the conditional
expectation. �
Corollary 2. Let Xt be a Markov process and Ft be the natural filtration asso-
ciated with this process. Then according to the above lemma for any function V
process E(V (XT )|Ft) is a martingale and applying Markov property we get that
E(V (XT )|Xt) is a martingale. In the following we often write E(V (XT )|Xt) as
EXt=xV (XT ).
As we will see this corollary together with Itô’s formula yield some powerful
results on the connection of partial differential equations and stochastic calculus.
Expected value of payoff V (XT ). Assume that Xt is a stochastic process satis-
fying the following stochastic differential equation
dXt = a(t, Xt)dt + σ(t, Xt)dBt, (1)
or in the integral form
Xt − X0 =
t
∫
0
a(s, Xs)ds +
t
∫
0
σ(s, Xs)dBs. (2)
Let
u(t, x) = EXt=xV (XT ) (3)
be the expected value of some payoff V at maturity T > t given that Xt = x. Then
u(t, x) solves
ut + a(t, x)ux +
1
2
(σ(t, x))2uxx = 0 for t < T, with u(T, x) = V (x). (4)
By Corollary 2 we conclude that u(t, x) defined by (3) is a martingale. Applying
Itô’s lemma we obtain
du(t, Xt) = utdt + uxdXt +
1
2
uxx(dXt)
2
= utdt + ux(adt + σdBt) +
1
2
uxxσ
2
dt
= (ut + aux +
1
2
σ
2
uxx)dt + σuxdBt, (5)
1this version July 21, 2014
1
2
Since u(t, x) is a martingale the drift term must be zero and thus u(t, x) solves
ut + aux +
1
2
σ
2
uxx = 0.
Substituting t = T is (3) we get that u(T, x) = EXT =x(V (XT )) = V (x).
Feynman-Kac formula. Suppose that we are interested in a suitably “discounted”
final-time payoff of the form
u(t, x) = EXt=x
(
e
−
T
∫
t
b(s,Xs)ds
V (XT )
)
(6)
for some specified function b(t, Xt). We will show that u then solves
ut + a(t, x)ux +
1
2
σ
2
uxx − b(t, x)u = 0 (7)
and final-time condition u(T, x) = V (x).
The fact that u(T, x) = V (x) is clear from the definition of function u. Therefore
let us concentrate on the proof of (7). Our strategy is to apply Corollary 2 and thus
we have to find some martingale involving u(t, x). For this reason let us consider
e
−
t
∫
0
b(s,Xs)ds
u(t, x) = e
−
t
∫
0
b(s,Xs)ds
EXt=x
(
e
−
T
∫
t
b(s,Xs)ds
V (XT )
)
= EXt=x
(
e
−
T
∫
0
b(s,Xs)ds
V (XT )
)
. (8)
According to Corollary 2
EXt=x
(
e
−
T
∫
0
b(s,Xs)ds
V (XT )
)
is a martingale and thus e
−
t
∫
0
b(s,Xs)ds
u(t, x) is a martingale. Applying Itô’s lemma
.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
1. Centro de Investigaci´on y de Estudios Avanzados del Instituto Polit´ecnico
Nacional
Unidad Guadalajara
Sistemas el´ectricos de Potencia
M´etodos n´umericos y computaci´on: Investigaci´on
November 25, 2019
Nombre: Alexis Hern´andez San Germ´an
Derive the equation (1)
x2
x0
f(x)dx ≈
h
3
(f0 + 4f1 + f2) (1)
Start with the Lagrange polynomial PM (x) based on x0, x1, . . . , xM that can be used to
approximate f(x):
f(x) ≈ PM (x) =
M
k=0
fk LM,k(x) (2)
where fk = f(xk) for k = 0, 1, . . . , M. An approximation for the integral is obtained by
replacing the integrand f(x) with the polynomial PM (x). This is the general method for
obtaining a Newton-Cotes integration formula:
xM
x0
f(x)dx ≈
xM
x0
PM (x)dx
=
xM
x0
M
k=0
fk LM,k(x) dx =
M
k=0
xM
x0
fkLM,k(x)dx
=
M
k=0
xM
x0
LM,k(x)dx fk =
M
k=0
wkfk
(3)
The details for the general computations of the coefficients of wk in (3) are tedious. We
shall give a sample proof of Simpson’s rule, which is the case M = 2. This case involves the
approximating polynomial
P2(x) = f0
(x − x1)(x − x2)
(x0 − x1)(x0 − x2)
+ f1
(x − x0)(x − x2)
(x1 − x0)(x1 − x2)
+ f2
(x − x0)(x − x1)
(x2 − x0)(x2 − x1)
(4)
Since f0, f1, and f2 are constants with respect to integration, the relations in (3) lead to
x2
x0
f(x)dx ≈ f0
x2
x0
(x − x1)(x − x2)
(x0 − x1)(x0 − x2)
dx + f1
x2
x0
(x − x0)(x − x2)
(x1 − x0)(x1 − x2)
dx
+ f2
x2
x0
(x − x0)(x − x1)
(x2 − x0)(x2 − x1)
dx
(5)
We introduce the change of variable x = x0+ht with dx = h dt to assist with the evaluation
of the integrals in (5). The new limits of integration are from t = 0 to t = 2. The equal spacing
1
2. nodes xk = x0 + kh leads to xk − xj = (k − j)h and x − xk = h(t − k), which are used to
simplify (5) and get
x2
x0
f(x)dx ≈ f0
2
0
h(t − 1)h(t − 2)
(−h)(−2h)
h dt + f1
2
0
h(t − 0)h(t − 2)
(h)(−h)
h dt
+ f2
2
0
h(t − 0)h(t − 1)
(2h)(h)
h dt
= f0
h
2
2
0
(t2
− 3t + 2) dt − f1h
2
0
(t2
− 2t) dt + f2
h
2
2
0
(t2
− t) dt
= f0
h
2
t3
3
−
3t2
2
+ 2t
t=2
t=0
− f1h
t3
3
− t2
t=2
t=0
+ f2
h
2
t3
3
−
t2
2
t=2
t=0
= f0
h
2
2
3
− f1h
−4
3
+ f2
h
2
2
3
=
h
3
(f0 + 4f1 + f2)
(6)
References
[1] John H. Matthews, Kurtis K. Fink, Numerical Methods using MATLAB 4th Edition,
Pearson Education, 2010
2