|
Showing 1 - 5 of
5 matches in All Departments
|
Fortschritte der Chemie organischer Naturstoffe / Progress in the Chemistry of Organic Natural Products / Progres Dans la Chimie des Substances Organiques Naturelles (English, French, German, Paperback, Softcover reprint of the original 1st ed. 1960)
P W Brian, H Brockmann, J. F. Grove, Michael Heidelberger, A Kjaer, …
|
R1,657
Discovery Miles 16 570
|
Ships in 10 - 15 working days
|
Depuis l'isolement de la creatine par CHEVREUL, en 1832, dans les
extraits de viande (44) et son identification par LIEBIG, en r847,
l'attention des biochimistes a porte principalement, pendant
longtemps, sur le role de l'arginine dans la production de l'uree
(I28), sur le cyde de l'ureo- genese (I34) et sur celui de la
phosphocreatine (7I) et de la phospho- arginine (r68, I69) dans la
contraction musculaire. A la suite de la mise en evidence, d'une
part des reactions de trans- amidination expliquant la
convertibilite entre l'arginine et un certain nombre de derives
guanidiques (28,29,33,73,2 5, 29I, 292), et, d'autre part, du
mecanisme complexe de la biosynthese de l'arginine (34, 45, 46,
I95, I96) , l'importance du groupement guanidique dans la fixation
et le transfert de l'azote organique est devenue beaucoup plus
manifeste. Par ailleurs, l'isolement de nouvelles substances dont
certaines: la phosphotaurocyamine, la phosphoglycocyamine
(280-282), la phospho- 10mb ricine (270), jouent le meme role de
phosphagenes que le creatine- et l'argininephosphate (257), amis en
evidence la part importante que les derives guanidiques prennent
dans la chimie du musde. L'etude de leur biogenese a montre en
outre que leur role n'est pas seulement equivalent a l'arginine
dans la fixation de l'azote du groupe amidinique, mais qu'ils sont
capables de jouer egalement de role de regulateurs du metabolisme
azote (258). I. Structure et formation.
In this edition, the scope and character of the monograph did not
change with respect to the first edition. Taking into account the
rapid development of the field, we have, however, considerably
enlarged its contents. Chapter 4 includes two additional sections
4.4 and 4.6 on theory and algorithms of D.C. Programming. Chapter
7, on Decomposition Algorithms in Nonconvex Optimization, is
completely new. Besides this, we added several exercises and
corrected errors and misprints in the first edition. We are
grateful for valuable suggestions and comments that we received
from several colleagues. R. Horst, P.M. Pardalos and N.V. Thoai
March 2000 Preface to the First Edition Many recent advances in
science, economics and engineering rely on nu merical techniques
for computing globally optimal solutions to corresponding
optimization problems. Global optimization problems are
extraordinarily di verse and they include economic modeling, fixed
charges, finance, networks and transportation, databases and chip
design, image processing, nuclear and mechanical design, chemical
engineering design and control, molecular biology, and environment
al engineering. Due to the existence of multiple local optima that
differ from the global solution all these problems cannot be solved
by classical nonlinear programming techniques. During the past
three decades, however, many new theoretical, algorith mic, and
computational contributions have helped to solve globally multi
extreme problems arising from important practical applications."
In this edition, the scope and character of the monograph did not
change with respect to the first edition. Taking into account the
rapid development of the field, we have, however, considerably
enlarged its contents. Chapter 4 includes two additional sections
4.4 and 4.6 on theory and algorithms of D.C. Programming. Chapter
7, on Decomposition Algorithms in Nonconvex Optimization, is
completely new. Besides this, we added several exercises and
corrected errors and misprints in the first edition. We are
grateful for valuable suggestions and comments that we received
from several colleagues. R. Horst, P.M. Pardalos and N.V. Thoai
March 2000 Preface to the First Edition Many recent advances in
science, economics and engineering rely on nu merical techniques
for computing globally optimal solutions to corresponding
optimization problems. Global optimization problems are
extraordinarily di verse and they include economic modeling, fixed
charges, finance, networks and transportation, databases and chip
design, image processing, nuclear and mechanical design, chemical
engineering design and control, molecular biology, and environment
al engineering. Due to the existence of multiple local optima that
differ from the global solution all these problems cannot be solved
by classical nonlinear programming techniques. During the past
three decades, however, many new theoretical, algorith mic, and
computational contributions have helped to solve globally multi
extreme problems arising from important practical applications."
Global optimization concerns the computation and characterization
of global optima of nonlinear functions. Such problems are
widespread in the mathematical modelling of real systems in a very
wide range of applications and the last 30 years have seen the
development of many new theoretical, algorithmic and computational
contributions which have helped to solve globally multiextreme
problems in important practical applications. Most of the existing
books on optimization focus on the problem of computing locally
optimal solutions. Introduction to Global Optimization, however, is
a comprehensive textbook on constrained global optimization that
covers the fundamentals of the subject, presenting much new
material, including algorithms, applications and complexity results
for quadratic programming, concave minimization, DC and Lipschitz
problems, and nonlinear network flow. Each chapter contains
illustrative examples and ends with carefully selected exercises,
designed to help students grasp the material and enhance their
knowledge of the methods involved. Audience: Students of
mathematical programming, and all scientists, from whatever
discipline, who need global optimization methods in such diverse
areas as economic modelling, fixed charges, finance, networks and
transportation, databases, chip design, image processing, nuclear
and mechanical design, chemical engineering design and control,
molecular biology, and environmental engineering.
Global optimization concerns the computation and characterization
of global optima of nonlinear functions. Such problems are
widespread in the mathematical modelling of real systems in a very
wide range of applications and the last 30 years have seen the
development of many new theoretical, algorithmic and computational
contributions which have helped to solve globally multiextreme
problems in important practical applications. Most of the existing
books on optimization focus on the problem of computing locally
optimal solutions. Introduction to Global Optimization, however, is
a comprehensive textbook on constrained global optimization that
covers the fundamentals of the subject, presenting much new
material, including algorithms, applications and complexity results
for quadratic programming, concave minimization, DC and Lipschitz
problems, and nonlinear network flow. Each chapter contains
illustrative examples and ends with carefully selected exercises,
designed to help students grasp the material and enhance their
knowledge of the methods involved. Audience: Students of
mathematical programming, and all scientists, from whatever
discipline, who need global optimization methods in such diverse
areas as economic modelling, fixed charges, finance, networks and
transportation, databases, chip design, image processing, nuclear
and mechanical design, chemical engineering design and control,
molecular biology, and environmental engineering.
|
|