PPT-SMT solvers in

Program Analysis and Verification Nikolaj Bj ø rner Microsoft Research Lecture 3 Overview of the lectures Day Topics Lab 1 Overview of SMT and applications SAT solving Z3 Encoding combinatorial problems with Z3. To AMWG. June 16. , 2015. Status Update of AMWG Change . Requests. Status of AMWG Change Requests . 3. Summary: 42 . Total AMWG Change Requests . 9 . AMWG Change Requests . Delivered . 2014. 1 . AMWG Change . Quantized State Systems. in Applied Mathematics. Fran. çois. E. Cellier. Computer Science Department. ETH Zurich. History of Physical System Simulation I. In the early days of digital physical system simulation (1955-1990), simulation software, such as . Program Analysis and Verification . Nikolaj Bj. ø. rner. Microsoft Research. Lecture 5. Overview of the lectures. Day. Topics. Lab. 1. Overview of SMT and applications. . SAT solving part I.. Program exploration with Pex. from Z3 proofs. Ken McMillan. Microsoft Research. TexPoint fonts used in EMF: . A. A. A. A. A. Interpolating Z3. Deriving Craig . interpolants. from proofs (feasible interpolation) has a variety of applications in verification:. Teaching & Learning Conference. Jane Nolan MBE. Entrepreneur in Residence and Development Officer (Careers Service). Katie Wray. Lecturer in Enterprise (SAgE Faculty). Entrepreneurial Students. Some statistics:. Dafny. K. Rustan M. Leino. RiSE. , Microsoft Research. 17 July 2009. JML seminar. Dagstuhl. , Germany. Dafny. experimental language. sequential, object based (no . subclassing. ). specifications in the style of . DPLL(T)-Based SMT Solvers. Guy . Katz. , Clark Barrett, . Cesare . Tinelli. , Andrew Reynolds, Liana . Hadarean. Stanford . University. The University. of Iowa. Synopsys. Producing Checkable Artifacts. A Tutorial. Nikolaj Bjørner . Microsoft Research. Dagstuhl . April 23, 2015. Plan. SMT in a nutshell. SMT solving walkthrough by example. Selected Theory solvers. Equalities. Arrays. Arithmetic. Combining Solvers. Richard Peng. Georgia Tech. Based on . recent works . joint with:. Serban . Stan (Yale. ), . Haoran. . Xu (MIT. ),. Shen . Chen Xu (CMU. ), . Saurabh. . Sawlani. (. GaTech. ). John . Gilbert (UCSB. 1. 2. Habits of Mind. 3. Research . on thinking and behavior reveals some identifiable characteristics of effective thinkers called habits of mind. Habits of mind are performed in response to those questions and problems the answers to which are not immediately known; when someone produces knowledge rather than merely reproduces it. FEKOBy offering a selection of different solvers FEKO users can choose the method that is most suitable to the problem that they are trying to solve or use more than one solver for cross validation pu Nikolaj Bj. ø. rner. Microsoft Research. Lecture 2. Overview of the lectures. Day. Topics. Lab. 1. Overview of SMT and applications. . SAT solving,. Z3. Encoding combinatorial problems with Z3. 2. Congruence closure. Jaideep. . Nijjar. . Tevfik Bultan. University of California, Santa Barbara. ASE 2012. Web . Software Everywhere. Commerce, entertainment, social interaction. We will rely on web apps more in the future. Sriram Rajamani. (based on notes/slides by Matt Fredrickson, Andre . Platzer. , . Emina Torlak and Leonardo . De Moura). Modern SAT solvers. First convert a formula to CNF (Conjunctive Normal Form). Use variant of DPLL (Davis Putnam .