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6 results for "convex geometry"
Convex Optimization & Euclidean Distance Geometry By Jon Dattorro
Hardcover: $174.00
Ships in 6-8 business days.
Convex Analysis is the calculus of inequalities while Convex Optimization is its application. Analysis is inherently the domain of the mathematician while Optimization belongs to the engineer. In... More > layman’s terms, the mathematical science of Optimization is the study of how to make a good choice when confronted with conflicting requirements. The qualifier Convex means: when an optimal solution is found, then it is guaranteed to be a best solution; there is no better choice. As any Convex Optimization problem has geometric interpretation, this book is about Convex Optimization, convex geometry (with particular attention to distance geometry), and nonconvex, combinatorial, and geometrical problems that can be relaxed or transformed into convex problems. A virtual flood of new applications follows by epiphany that many problems, presumed nonconvex, can be so transformed. Color Hardcover< Less
Convex Optimization & Euclidean Distance Geometry By Jon Dattorro
Paperback: $26.01
Ships in 3-5 business days
Convex Analysis is the calculus of inequalities while Convex Optimization is its application. Analysis is inherently the domain of the mathematician while Optimization belongs to the engineer. In... More > layman’s terms, the mathematical science of Optimization is the study of how to make a good choice when confronted with conflicting requirements. The qualifier Convex means: when an optimal solution is found, then it is guaranteed to be a best solution; there is no better choice. As any Convex Optimization problem has geometric interpretation, this book is about Convex Optimization, convex geometry (with particular attention to distance geometry), and nonconvex, combinatorial, and geometrical problems that can be relaxed or transformed into convex problems. A virtual flood of new applications follows by epiphany that many problems, presumed nonconvex, can be so transformed. black & white paperback< Less
Convex Optimization & Euclidean Distance Geometry By Jon Dattorro
Paperback: $99.99
Ships in 3-5 business days
Convex Analysis is the calculus of inequalities while Convex Optimization is its application. Analysis is inherently the domain of the mathematician while Optimization belongs to the engineer. In... More > layman’s terms, the mathematical science of Optimization is the study of how to make a good choice when confronted with conflicting requirements. The qualifier Convex means: when an optimal solution is found, then it is guaranteed to be a best solution; there is no better choice. As any Convex Optimization problem has geometric interpretation, this book is about Convex Optimization, convex geometry (with particular attention to distance geometry), and nonconvex, combinatorial, and geometrical problems that can be relaxed or transformed into convex problems. A virtual flood of new applications follows by epiphany that many problems, presumed nonconvex, can be so transformed. Revised & Enlarged International Paperback Edition III< Less
Unique Quadrilateral By DR.SURESH R. PARMAR
eBook (PDF): $23.00
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Quadrilaterals are simple (not self-intersecting) or complex (self-intersecting), also called crossed. Simple quadrilaterals are either convex or concave. Unique quadrilateral is new Innovation and... More > formula is prepared by Dr. Suresh R. Parmar< Less
Research Concerning Reliability and Validity By DR.SURESH PARMAR
eBook (PDF): $8.99
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Quadrilaterals are simple (not self-intersecting) or complex (self-intersecting), also called crossed. Simple quadrilaterals are either convex or concave. Unique quadrilateral is new Innovation and... More > formula is prepared by Dr. Suresh R. Parmar< Less
Constructing Kepler-Poinsot Polyhedra 3D Solids By ETC Press
eBook (PDF): $8.13
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The Kepler-Poinsot polyhedra are also known as the regular star polyhedra. Each one of these shapes has faces which are congruent regular convex polygons or star polygons and has the same number of... More > faces meeting at each vertex. Challenge your students by having them construct two of these 3D models; the great dodecahedron, and the great icosahedron.< Less