Results 201 to 210 of about 133,438 (232)
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Programming with Boolean Satisfaction

2012
In recent years, research on Boolean satisfiability (SAT) is generating remarkably powerful SAT solvers capable of handling larger and larger SAT instances. With the availability of progressively stronger SAT solvers, an accumulating number of applications have been developed which demonstrate that real world problems can often be solved by encoding ...
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Scalable program analysis using Boolean satisfiability

Fourth ACM and IEEE International Conference on Formal Methods and Models for Co-Design, 2006. MEMOCODE '06. Proceedings., 2006
Summary form only given. Static program analysis suffers from a fundamental trade-off between precision and scalability, and the analyses that scale to the largest programs are generally not the most precise methods known. This talk describes how recent advances in algorithms for solving instances of Boolean satisfiability (SAT) can be exploited to ...
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CTL Model Checking for Boolean Program

2006
Nowadays, there are some subtle errors in a software system. So verification technique is very important. The one of important verification technique is model checking technique. Model checking is a technique to verify behavior of system with desired property. There are many researches about software model checking.
Taehoon Lee, Gihwon Kwon, Hyuksoo Han
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Linear Programming Formulation of Boolean Satisfiability Problem

2013
It was investigated the Boolean satisfiability (SAT) problem defined as follows: given a Boolean formula, check whether an assignment of Boolean values to the propositional variables in the formula exists, such that the formula evaluates to true. If such an assignment exists, the formula is said to be satisfiable; otherwise, it is unsatisfiable.
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Pseudo-Boolean Programming for Bivalent Optimization

1973
This thesis introduces an effective computational algorithm making use of Boolean algebra for solving bivalent optimization problems with linear and nonlinear constraints. This method is a combination of the algorithm suggested by Hammer and the branch and bound method.
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Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg   +2 more
exaly  

Oral complications of cancer and cancer therapy

Ca-A Cancer Journal for Clinicians, 2012
Joel B Epstein   +2 more
exaly  

The financial burden and distress of patients with cancer: Understanding and stepping‐up action on the financial toxicity of cancer treatment

Ca-A Cancer Journal for Clinicians, 2018
Pricivel M Carrera   +2 more
exaly  

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