Large-Scale Nonlinear Optimization

Large-Scale Nonlinear Optimization

Gianni Pillo, Massimo Roma
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This book reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research. Individual chapters, contributed by eminent authorities, provide an up-to-date overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.
Kategori:
Mathematics
Tahun:
2006
Edisi:
1st Edition.
Penerbit:
Springer
Bahasa:
english
Halaman:
296
ISBN 10:
1441940146
ISBN 13:
9781441940148
Nama seri:
Nonconvex Optimization and Its Applications
File:
PDF, 14.83 MB
IPFS:
CID , CID Blake2b
english, 2006
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Istilah kunci

 
solution
optimization
function
method
methods
algorithm
matrix
step
vector
optimal
linear
objective
quadratic
nonlinear
programming
iteration
variables
numerical
constraints
theorem
functions
positive
analysis
values
equation
equations
algorithms
solutions
initial
convergence
obtained
scale
convex
parameter
approach
solving
hessian
zero
newuoa
consider
gradient
factorization
defined
approximate
components
constrained
penalty
lagrange
parameters
constraint
reduced
systems
active
generalized
unconstrained
efficient
subject
feasible
interpolation
iterations