• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 4359
  • 1626
  • 601
  • 349
  • 331
  • 215
  • 77
  • 65
  • 64
  • 57
  • 57
  • 57
  • 57
  • 57
  • 56
  • Tagged with
  • 10648
  • 3579
  • 1741
  • 1380
  • 1324
  • 1265
  • 1216
  • 1104
  • 1070
  • 1043
  • 981
  • 931
  • 826
  • 782
  • 648
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
151

Statistical modeling of the value function in high-dimensional, continuous-state SDP

Tsai, Julia Chia-Chieh 08 1900 (has links)
No description available.
152

A projective technique for accelerating convergence of the affine scaling algorithm for linear programming

Trigos, Federico 08 1900 (has links)
No description available.
153

Conflict graphs and flow models for mixed-integer linear optimization problems

Atamtürk, Alper 08 1900 (has links)
No description available.
154

Syntax-directed editor support for incremental consistency maintenance

Vorthmann, Scott A. 08 1900 (has links)
No description available.
155

Logic programming with constraints

Liu, Guohua Unknown Date
No description available.
156

On weighted paths for nonlinear semidefinite complementarity problems and newton methods for semidefinite programming

Zanjácomo, Paulo Régis 12 1900 (has links)
No description available.
157

Robust solutions for constraint satisfaction and optimisation under uncertainty.

Hebrard, Emmanuel, Computer Science & Engineering, Faculty of Engineering, UNSW January 2007 (has links)
We develop a framework for finding robust solutions of constraint programs. Our approach is based on the notion of fault tolerance. We formalise this concept within constraint programming, extend it in several dimensions and introduce some algorithms to find robust solutions efficiently. When applying constraint programming to real world problems we often face uncertainty. Whilst reactive methods merely deal with the consequences of an unexpected change, taking a more proactive approach may guarantee a certain level of robustness. We propose to apply the fault tolerance framework, introduced in [Ginsberg 98], to constraint programming: A robust solution is one such that a small perturbation only requires a small response. We identify, define and classify a number of abstract problems related to stability within constraint satisfaction or optimisation. We propose some efficient and effective algorithms for solving these problems. We then extend this framework by allowing the repairs and perturbations themselves to be constrained. Finally, we assess the practicality of this framework on constraint satisfaction and scheduling problems.
158

Genesis: An Extensible Java

Lewis, IJ Unknown Date (has links) (PDF)
Extensible programming languages allow users to create fundamentally new syntax and translate this syntax into language primitives. The concept of compile-time meta-programming has been around for decades, but systems that provide such abilities generally disallow the creation of new syntactic forms, or have heavy restrictions on how, or where, this may be done. Genesis is an extension to Java that supports compile-time meta-programming by allowing users to create their own arbitrary syntax. This is achieved through macros that operate on a mix of both concrete and abstract syntax, and produce abstract syntax. Genesis attempts to provide a minimal design whilst maintaining, and extending, the expressive power of other similar macro systems. The core Genesis language definition lacks many of the desirable features found in other systems, such as quasi-quote, hygiene, and static expression-type dispatch, but is expressive enough to define these as syntax extensions. User-defined macros produce only well-formed syntactic structures via the use of a predefined set of classes that define a Java abstract syntax. At the heart of Genesis is a flexible parser that is capable of parsing any context-free grammars - even ambiguous ones. The parser is capable of arbitrary speculation and will consider all possible parses. The parser constructs a graph of possible paths, and is capable of dynamically pruning this graph, or combining nodes, based on precedence or associativity rules. This general parser allows macro programmers to forget about parsing, and concentrate on defining new syntax. One key goal of this system was to address the programmer's learning curve by providing as simple a system as possible. This was achieved by the use of the flexible parser, the introduction of only one new construct to standard Java, and extensions to make programming macros more user friendly. The expressiveness of Genesis is wide ranging; it is capable of providing small scale limited use macros, large scale semantic modifications, through to complete language replacements. To demonstrate this expressiveness, we implement many of the simple test cases found in other systems, such as a type-safe printf, assertions, and iteration statements. These test cases require an ability to perform static type-checking and to manipulate compile-time values and abstract syntax trees. As additional examples of Genesis' expressive power we also provide implementations of embedded subsets of SQL and Haskell. As a final proof of power, the Haskell subset can operate as a stand-alone extension independent of any recognisable Java code.
159

An axiomatic semantics for functional reactive programming

King, Christopher T. January 2008 (has links)
Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: Coq; monads; functional reactive programming; formal verification. Includes bibliographical references (leaves 31-32).
160

Automatic programming for digital computers /

Sanderson, John G., January 1900 (has links) (PDF)
Thesis (M.Sc.) -- University of Adelaide, 1958. / Typewritten copy.

Page generated in 0.0747 seconds