Linear Optimization The Simplex Workbook

Alexandrov’s work was both original and extremely influential. This book gave rise to studying surfaces “in the large,” rejecting the limitations of smoothness, and reviving the style of Euclid. Progress in geometry in recent decades correlates with the resurrection of the synthetic methods of geometry and brings the ideas of Alexandrov once again into focus. This text is a classic that remains unsurpassed in its clarity and scope.

The topics here include convex polyhedrons and closed surfaces, an elementary proof and extension of Minkowski’s theorem, Riemannian geometry and a method for Dirichlet problems. This monograph, published in English for the first time, gives unparalleled access to a brilliant mind, and advanced students and researchers in applied mathematics and geometry will find it indispensable.

The book places the fundamental tenets of computer programming into the context of MATLAB, employing hands-on exercises, examples from the engineering industry, and a variety of core tools to increase programming proficiency and capability. With this knowledge, students are prepared to adapt learned concepts to other programming languages.

• Based on a decade’s worth of the authors lecture notes detailing the topic of applied mathematics for scientists and engineers
• Concisely writing with numerous examples provided including historical perspectives as well as a solutions manual for academic adopters

The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities.