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Analysis II: Convex Analysis and Approximation Theory

Posted By: AvaxGenius

Date: 2 Aug 2022 23:02:35

Analysis II: Convex Analysis and Approximation Theory by R. V. Gamkrelidze
English | PDF | 1990 | 262 Pages | ISBN : 3642647685 | 30.1 MB

Intended for a wide range of readers, this book covers the main ideas of convex analysis and approximation theory. The author discusses the sources of these two trends in mathematical analysis, develops the main concepts and results, and mentions some beautiful theorems. The relationship of convex analysis to optimization problems, to the calculus of variations, to optimal control and to geometry is considered, and the evolution of the ideas underlying approximation theory, from its origins to the present day, is discussed. The book is addressed both to students who want to acquaint themselves with these trends and to lecturers in mathematical analysis, optimization and numerical methods, as well as to researchers in these fields who would like to tackle the topic as a whole and seek inspiration for its further development.

Science Analysis Analysis II Approximationstheorie konvexe Analysis optimization mathematical analysis Real Functions Systems Theory Control Calculus Optimization Geometry Quantitative Economics

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Control Theory: A guided tour, 3rd Edition

Posted By: AvaxGenius

Date: 1 Apr 2022 00:59:51

Control Theory: A guided tour, 3rd Edition by James Ron Leigh
English | PDF | 2012 | 472 Pages | ISBN : 1849192278 | 29.8 MB

Using clear tutorial examples, this fully updated new edition concentrates on explaining and illustrating the concepts that are at the heart of control theory. It seeks to develop a robust understanding of the underlying principles around which the control subject is built.

Science mathematical analysis Control Theory Engineering

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Statistical Data Modeling and Machine Learning with Applications

Posted By: AvaxGenius

Date: 6 Jan 2022 19:37:35

Statistical Data Modeling and Machine Learning with Applications by Snezhana Gocheva-Ilieva
English | PDF | 2021 | 186 Pages | ISBN : 3036526927 | 11.5 MB

The modeling and processing of empirical data is one of the main subjects and goals of statistics. Nowadays, with the development of computer science, the extraction of useful and often hidden information and patterns from data sets of different volumes and complex data sets in warehouses has been added to these goals. New and powerful statistical techniques with machine learning (ML) and data mining paradigms have been developed.

Science Data Modeling Machine Learning Machine Learning with Applications Statistical Data Modeling mathematical statistics operational research mathematical analysis numerical methods artificial neural networks optimization statistical estimation Mathematics Computer Science

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Sharpening Mathematical Analysis Skills

Posted By: AvaxGenius

Date: 26 Oct 2021 00:35:59

This book gathers together a novel collection of problems in mathematical analysis that are challenging and worth studying. They cover most of the classical topics of a course in mathematical analysis, and include challenges presented with an increasing level of difficulty. Problems are designed to encourage creativity, and some of them were especially crafted to lead to open problems which might be of interest for students seeking motivation to get a start in research.

Science Mathematics mathematical analysis Analysis Real Functions Sequences Series Summability

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Optimization Theory: A Concise Introduction

Posted By: l3ivo

Date: 12 Sep 2021 09:08:05

Science mathematics math linear programming analysis mathematical analysis

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Introduction to Piecewise Differentiable Equations (Repost)

Posted By: AvaxGenius

Date: 6 Apr 2021 21:08:01

Introduction to Piecewise Differentiable Equations (Repost)

Introduction to Piecewise Differentiable Equations By Stefan Scholtes
English | PDF | 2012 | 141 Pages | ISBN : 1461443393 | 1.35 MB

This brief provides an elementary introduction to the theory of piecewise differentiable functions with an emphasis on differentiable equations. In the first chapter, two sample problems are used to motivate the study of this theory. The presentation is then developed using two basic tools for the analysis of piecewise differentiable functions: the Bouligand derivative as the nonsmooth analogue of the classical derivative concept and the theory of piecewise affine functions as the combinatorial tool for the study of this approximation function. In the end, the results are combined to develop inverse and implicit function theorems for piecewise differentiable equations.

Optimization Science mathematical analysis differentiable functions basic mathematical analysis Mathematics

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Advances in Neural Networks – ISNN 2020

Posted By: AvaxGenius

Date: 29 Nov 2020 04:40:34

Advances in Neural Networks – ISNN 2020: 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4–6, 2020, Proceedings by Min Han
English | PDF | 2020 | 289 Pages | ISBN : 3030642208 | 28.05 MB

This volume LNCS 12557 constitutes the refereed proceedings of the 17th International Symposium on Neural Networks, ISNN 2020, held in Cairo, Egypt, in December 2020.