Optimization

Interior Point Methods for Linear Optimization is a comprehensive, thorough textbook on interior point methods (IPMs).

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This volume, first published in 2004, contains the plenary invited talks given at main conference in the subject.

This introductory text clearly presents three important games in logic, from the basics to the cutting edge.

This book discusses unconstrained optimization with R-a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS.

This textbook provides and introduction to numerical computing and its applications in science and engineering.

An understanding of emergent computation requires a profound revision of the most fundamental ideas.

Isoperimetric, measure concentration and random process techniques appear at the basis of the modern understanding of Probability in Banach spaces.

Practical Numerical and Scientific Computing with MATLAB(R) and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming.

Collating different aspects of Vector-valued Partial Differential Equations and Applications, this volume is based on the 2013 CIME Course with the same name which took place at Cetraro, Italy, under the scientific direction of John Ball and Paolo Marcellini.

This is a book on the basics of mathematics and computation and their uses in economics for modern day students and practitioners.

This book is dedicated to the approximation of solutions of nonlinear equations using iterative methods.

Reliability theory is a major concern for engineers and managers engaged in making high quality products and designing highly reliable systems.

Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles.

Much research into financial contagion and systematic risks has been motivated by the finding that cross-market correlations (resp.

As for film and literature, the horror genre has been very popular in the video game.

This book explores the dynamic interplay between fractals and graph theory, two powerful mathematical tools with vast applications.

With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

In this book, optimization of chemical processes is performed using both classical and advanced algorithms.

Moderne finanzmathematische Methoden sind eng mit der Theorie stochastischer Prozesse verbunden.

Applications of operant techniques in treatment and education have proliferated in recent years.

This book provides a clear understanding regarding the fundamentals of matrix and determinant from introduction to its real-life applications.

This textbook is distinguished from other texts on the subject by the depth of the presentation and the discussion of the calculus of moving surfaces, which is an extension of tensor calculus to deforming manifolds.

This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python.

This IMA Volume in Mathematics and its Applications STOCHASTIC DIFFERENTIAL SYSTEMS, STOCHASTIC CONTROL THEORY AND APPLICATIONS is the proceedings of a workshop which was an integral part of the 1986-87 IMA program on STOCHASTIC DIFFERENTIAL EQUATIONS AND THEIR APPLICATIONS.

This book collects together lectures by some of the leaders in the field of partial differential equations and geometric measure theory.

Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain.

This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension.

This book presents and uses a major, new database of the most serious forms of internal resistance to the Nazi state to study empirically the whole phenomenon of resistance to an authoritarian regime.

Optimization: Structure and Applications presents selected contributions from renowned researchers in the fields of operations research and industrial engineering.

As a branch of mathematics that studies the behavior of random, fuzzy and rough events, uncertainty theory is the generic name of probability theory, credibility theory, and trust theory.

Solve SEO problems using data science.

This book is devoted to game theory and its applications to environmental problems, economics, and management.

Proposes novel methods to incorporate ignorance and uncertainty into economic modeling without complex mathematics.

This monograph offers the first systematic account of (metric) regularity theory in variational analysis.

Inverse limits with set-valued functions are quickly becoming a popular topic of research due to their potential applications in dynamical systems and economics.

Advances on Fractional Inequalities use primarily the Caputo fractional derivative, as the most important in applications, and presents the first fractional differentiation inequalities of Opial type which involves the balanced fractional derivatives.

Optimization in Science and Engineering is dedicated in honor of the 60th birthday of Distinguished Professor Panos M.

Differential Equations in Engineering: Research and Applications describes advanced research in the field of the applications of differential equations in engineering and the sciences, and offers a sound theoretical background, along with case studies.

The results presented in this book originate from the last decade research work of the author in the ?

Global optimization is concerned with the computation and characterization of global optima of nonlinear functions.

Robust and Adaptive Control (second edition) shows readers how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events.

This book systematically discusses nonlinear interval optimization design theory and methods.

This book may serve as a basis for students and teachers.

The scope of this volume is primarily to analyze from different methodological perspectives  similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives.