Applied Mathematics-A Journal of Chinese Universities View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1986

PUBLISHER

Editorial Committee of Applied Mathematics - A Journal of Chinese Universities

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/11766

Recent publications latest 20 shown

  • 2019-03 Compactness for the commutators of multilinear singular integral operators with non-smooth kernels
  • 2019-03 Online scheduling of jobs with kind release times and deadlines on a single machine
  • 2019-03 Finite Determinacy of High Codimension Smooth Function Germs
  • 2019-03 V-uniform ergodicity for fluid queues
  • 2019-03 Sharp upper bounds for the adjacency and the signless Laplacian spectral radius of graphs
  • 2019-03 Perfect matchings on a type of lattices with toroidal boundary
  • 2019-03 IBEA-SVM: An Indicator-based Evolutionary Algorithm Based on Pre-selection with Classification Guided by SVM
  • 2019-03 Asymptotic behavior for sums of non-identically distributed random variables
  • 2019-03 A note on the perturbed monomial mapping
  • 2019-03 Reductivity and bundle shifts
  • 2018-12 Novel applications of bipolar single-valued neutrosophic competition graphs
  • 2018-12 The hamiltonicity on the competition graphs of round digraphs
  • 2018-12 Precise large deviations for sums of random vectors in a multidimensional size-dependent renewal risk model
  • 2018-12 Confidence domain in the stochastic competition chemostat model with feedback control
  • 2018-12 The differentiability of solutions for elliptic equations which degenerate on part of the boundary of a convex domain
  • 2018-12 Spiral transitions
  • 2018-12 Asymptotic periodic solutions of some generalized Burgers equations
  • 2018-09 Pricing VIX options in a 3/2 plus jumps model
  • 2018-09 A one-step implicit iterative method for two finite families of asymptotically nonexpansive mappings in a hyperbolic space
  • 2018-09 Optimal control approach to stability criteria on Hill’s equations
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

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