Optimisation, or mathematical programming, is a fundamental subject within decision science and operations research, in which mathematical decision models are constructed, analysed, and solved. This book's focus lies on providing a basis for the analysis of optimisation models and of candidate optim
An Introduction to Convexity, Optimization, and Algorithms
โ Scribed by Heinz H. Bauschke; Walaa M. Moursi
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 2024
- Tongue
- English
- Leaves
- 192
- Series
- MOS-SIAM Series on Optimization
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
"Provides a comprehensive and accessible exploration of modern topics in convex analysis and optimization algorithms, with an emphasis on bridging the two areas"--
๐ SIMILAR VOLUMES
This book, developed through class instruction at MIT over the last 15 years, provides an accessible, concise, and intuitive presentation of algorithms for solving convex optimization problems. It relies on rigorous mathematical analysis, but also aims at an intuitive exposition that makes use of vi
Book, 64 p, March 2002<br/>Contents<br/>Optimization and hill climbing<br/>The simplex method<br/>Iterated simplex<br/>A set of test problems<br/>Performance of the simplex and iterated simplex methods<br/>Evolution optimization and genetic algorithms<br/>Biological evolution<br/>The power of cumula
"This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be
<P>This book presents basic optimization principles and gradient-based algorithms to a general audience in a brief and easy-to-read form, without neglecting rigor. The work should enable professionals to apply optimization theory and algorithms to their own particular practical fields of interest, b
<span>New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.</span><span><br><br>In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theore