Linear & Nonlinear Programming

Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding. But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and...

Optimization is concerned with finding the best (optimal) solution to mathematical problems that may arise in economics, engineering, the social sciences and the mathematical sciences. As is suggested by its title, this book surveys various ways of...

Extracting the latent underlying structures of complex nonlinear local and nonlocal flows is essential for their analysis and modeling. In this Element the authors attempt to provide a consistent framework through Koopman theory and its related popular...

Polyhedral functions provide a model for an important class of problems that includes both linear programming and applications in data analysis. General methods for minimizing such functions using the polyhedral geometry explicitly are developed. Such...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781955786638Author Andy VicklerFormat PaperbackPage Count 210Imprint Ladoo Publishing LLCPublisher Ladoo Publishing LLCWeight(grams) 286g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788494422935Author Oriol LordanFormat PaperbackPage Count 108Imprint OmniasciencePublisher OmniascienceWeight(grams) 209gDimensions(mm) 246mm * 189mm * 6mm

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781955645119Author Stanley VastFormat PaperbackPage Count 176Imprint Stanley VastPublisher Stanley VastWeight(grams) 152g

Reduced order models, or model reduction, have been used in many technologically advanced areas to ensure the associated complicated mathematical models remain computable. For instance, reduced order models are used to simulate weather forecast models...

At the crossroads of mathematics, operations research, and computer science, linear programming has become a mature and well-understood tool to address problems in science, engineering, economics and mathematics itself. This tremendous success is based...

Linear programming (LP), as a specific case of mathematical programming, has been widely encountered in a broad class of scientific disciplines and engineering applications. In view of its fundamental role, the solution of LP has been investigated...

This textbook provides a self-contained introduction to linear programming using MATLAB (R) software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large...

The need of optimal partition arises from many real-world problems involving the distribution of limited resources to many users. The "clustering" problem, which has recently received a lot of attention, is a special case of optimal...

A First Course in Combinatorial Optimization is a text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some...

What are the risks of terrorism and what are their consequences and economic impacts? Are we safer from terrorism today than before 9/11? Does the government spend our homeland security funds well? These questions motivated a twelve-year research program...

Point-to-point vs hub-and-spoke. Questions of network design are real and involve many billions of dollars. Yet little is known about optimising design - nearly all work concerns optimising flow assuming a given design. This foundational book tackles...