[go: up one dir, main page]

Jakobsen et al., 2002 - Google Patents

Continuous dependence estimates for viscosity solutions of fully nonlinear degenerate parabolic equations

Jakobsen et al., 2002

View PDF
Document ID
820425348351758355
Author
Jakobsen E
Karlsen K
Publication year
Publication venue
Journal of Differential Equations

External Links

Snippet

Using the maximum principle for semicontinuous functions (Differential Integral Equations3 (1990), 1001–1014; Bull. Amer. Math. Soc.(NS) 27 (1992), 1–67), we establish a general “continuous dependence on the non-linearities” estimate for viscosity solutions of fully …
Continue reading at www.sciencedirect.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements

Similar Documents

Publication Publication Date Title
Jakobsen et al. Continuous dependence estimates for viscosity solutions of fully nonlinear degenerate parabolic equations
Du et al. Bilinear classes: A structural framework for provable generalization in rl
US6483509B1 (en) Curve contour smoothing
Wainwright Variance-reduced $ Q $-learning is minimax optimal
Haussler et al. Sequential prediction of individual sequences under general loss functions
Cutkosky et al. Online learning without prior information
DE69601086T2 (en) METHOD AND SYSTEM FOR PRESENTING A DATA GROUP WITH A DATA TRANSFER FUNCTION AND A DATA MASK
Daubechies et al. Commutation for irregular subdivision
Shin On the eigenproblems of PT-symmetric oscillators
Lin et al. Approximate Recovery in Changepoint Problems, from $\ell_2 $ Estimation Error Rates
Merlis et al. Tight lower bounds for combinatorial multi-armed bandits
Gyorgy et al. Shifting regret, mirror descent, and matrices
Khriji et al. Adaptive fuzzy order statistics-rational hybrid filters for color image processing
Bhatt et al. Minimax m-estimation under adversarial contamination
Kim et al. Local anti-concentration class: Logarithmic regret for greedy linear contextual bandit
Griewank et al. ODE solving via automatic differentiation and rational prediction
Marcondes et al. The lattice overparametrization paradigm for the machine learning of lattice operators
Bunea et al. Aggregation for regression learning
Möller et al. Multivariate refinable functions of high approximation order via quotient ideals of Laurent polynomials
Mattingly et al. A central limit theorem for random tangent fields on stratified spaces
Costantini et al. Markov selection for constrained martingale problems
Bogart et al. A parametric version of LLL and some consequences: parametric shortest and closest vector problems
US20050273643A1 (en) Method, system and program for oscillation control of an internal process of a computer program
Bauer et al. Persistent Betti numbers of random\v {C} ech complexes
Dolera et al. Learning-augmented count-min sketches via Bayesian nonparametrics