Advances in Optimization and Nonlinear Analysis

Advances in Optimization and Nonlinear Analysis

The present book focuses on that part of calculus of variations, optimization, nonlinear analysis and related applications which combines tools and methods from partial differential equations with geometrical techniques. More precisely, this work is devoted to nonlinear problems coming from differen...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Mathematics & science
Research & information: general
(p,s)-convex fuzzy-interval-valued function
advances of SDO
applications of SDO
Arzelà-Ascoli Theorem
basin of attraction
Caputo-Fabrizio fractional integral
chaos
constrained variational control problem
constraint qualifications
convex function
convexificators
convexity of matrix
crowing distance
deformed exponential
discount
electrical vehicles
emission reduction
engineering design problem
fractal
fractional derivative of Riemann-Liouville type
fractional differential equations
fractional integral operator
fractional transportation problem
fuzzy Riemann integral
Green's functions
Guo-Krasnosel'skii fixed point theorem in cones
h-convex function
hemicontinuity
Hermite-Hadamard inequality
Hermite-Hadamard type inequalities
Hermite-Hadamard type inequality
Hermite-Hadamard-Fejér type inequality
hidden attractor
improved chaos game optimization
integral boundary value problems
interval Hermite-Hadamard inequality
interval Hermite-Hadamard-Fejér inequality
interval-valued function
intuitionistic fuzzy set
inverse geometric problem
Jensen inequality
Jensen type inequality
Jensen-Mercer inequality
Laplace equation
least-square problem
Lieb concavity theorem
load frequency control
low carbon inventory
lower semicontinuity
LR-convex interval-valued function
LR-Harmonically convexity
manta ray foraging optimizer
metaheuristic optimization
method of fundamental solution
micro resonator
monotonicity
multi-objective programming
multimodal multi-objective optimization
multiobjective programs with vanishing constraints
multiple integral functional
multistability
n/a
nature-inspired algorithms
non-dominated solution
nonsmooth analysis
optimal power flow
optimization problems
parametric programming
payment in advance
Pick function
price-sensitive demand
pseudomonotonicity
renewable energy sources
Riemann integral
safe jump
Schur type inequality
semidefinite programming
spiral dynamics optimization
spiral paths
spiral-inspired optimization algorithms
sublinearity and superlinearity
TD-TI controller
well posedness
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