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Geometric Tomography

Geometric tomography deals with the retrieval of information about a geometric object from data concerning its projections (shadows) on;

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Geometric Tomography

Geometric tomography deals with the retrieval of information about a geometric object from data concerning its projections (shadows) on;

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Selected Applications of Convex Optimization

estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation;

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Bioluminescence

This book is an authoritative monograph on the recent progresses in the chemistry of bioluminescence;...

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Variational Methods

problems and shape spaces to computer vision and computational anatomy. The second part is geared towards geometric control and related topics;

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Bioluminescence And Chemiluminescence - Light Emission

In the last decade, great advances have been made in fundamental research and in the applications of;...

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Bioluminescence

This book presents current research data in the study of the characteristics, adaptations and biotec;...

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Bioluminescence

This book is the bible of bioluminescence and a must-read not only for the students but for those wh;...

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Chemiluminescence and Bioluminescence

This complete and well-organized overview of chemiluminescence and bioluminescence is divided into t;...

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Bioluminescence

Bioluminescence is everywhere on earth-most of all in the ocean, from angler fish in the depths to t;...

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Chemi- and Bioluminescence

This book focuses on instrumentation of chemi- and bioluminescence and discusses the nature of chemi;...

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Linear Inverse Problems and Tikhonov Regularization

Tikhonov regularization is the most popular general-purpose method for regularization, a mathematical technique to suppress the effect;

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Bioluminescence

This volume presents detailed laboratory protocols regarding the three major route technologies luci;...

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Bioluminescence

This book, written by a distinguished scientist in the field, provides a comprehensive overview of t;...

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Variational Regularization for Systems of Inverse Problems

Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in countless scientific fields. Richard;

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Discrete Geometry for Computer Imagery

submissions. The papers are organized in topical sections on combinatorial tools; discretization; discrete tomography; discrete and combinatorial;

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Discrete Geometry for Computer Imagery

selected from 36 submissions. The papers are organized in topical sections on geometric transforms; discrete tomography; discrete modeling and;

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An Introduction to the Mathematical Theory of Inverse Problems

, system identification, nondestructive testing, and ultrasonic tomography. It aims to expose the basic notions and difficulties encountered with;

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An Introduction to the Mathematical Theory of Inverse Problems

, system identification, nondestructive testing, and ultrasonic tomography. It aims to expose the basic notions and difficulties encountered with;

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Discrete Geometry for Computer Imagery

are organized in topical sections on Models for Discrete Geometry, Discrete and Combinatorial Topology, Geometric Transforms, Discrete Shape;

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Inverse Problems in Vision and 3D Tomography

just to estimate unobserved images, but also their geometric characteristics from observed quantities that are linked to these unobserved;

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Bioluminescence And Chemiluminescence

In life science, bioluminescence and chemiluminescence have become a vital tool for laboratory analy;...

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Approximation Theory and Algorithms for Data Analysis

algorithms for data analysis plays an important role. The following topics are covered: * least-squares approximation and regularization methods;

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Bioluminescence in Progress

The study of bioluminescence--visible light emitted by living organisms--is truly in progress, as th;...

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Bioluminescence in Progress

The study of bioluminescence--visible light emitted by living organisms--is truly in progress, as th;...

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Factorization Calculus and Geometric Probability

This unique book develops the classical subjects of geometric probability and integral geometry, and the more modern one of stochastic;

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