LEADER 01074nam a2200301 i 4500 001 991001095129707536 005 20020507111211.0 008 940308s1978 us ||| | eng 035 $ab10172932-39ule_inst 035 $aLE00642051$9ExL 040 $aDip.to Fisica$bita 084 $a53(022+076) 084 $a53.1.4 084 $a53.1.5 084 $a530 100 1 $aGautreau, Ronald$046472 245 10$aModern physics :$bincluding 486 solved problems /$cRonald Gautreau, William Savin 260 $aNew York :$bMcGraw-Hill Book Co.,$cc1978 300 $a309 p. ;$c27 cm. 490 0 $aSchaum's outline series 650 4$aPhysics$xProblems, exercises, etc. 700 1 $aSavin, William$eauthor$4http://id.loc.gov/vocabulary/relators/aut$046473 907 $a.b10172932$b11-09-18$c27-06-02 912 $a991001095129707536 945 $aLE006 53(022+076) SCH$g1$i2006000096393$lle006$o-$pE0.00$q-$rl$s- $t0$u3$v0$w3$x0$y.i10212036$z27-06-02 996 $aModern physics$91444951 997 $aUNISALENTO 998 $ale006$b01-01-94$cm$da $e-$feng$gus $h0$i1 LEADER 03895nam 2200649 a 450 001 9910768173503321 005 20251117051017.0 010 $a3-540-45386-5 024 7 $a10.1007/11871743 035 $a(CKB)1000000000284049 035 $a(SSID)ssj0000320611 035 $a(PQKBManifestationID)11237920 035 $a(PQKBTitleCode)TC0000320611 035 $a(PQKBWorkID)10249708 035 $a(PQKB)11347145 035 $a(DE-He213)978-3-540-45386-4 035 $a(MiAaPQ)EBC3068141 035 $a(PPN)123138590 035 $a(EXLCZ)991000000000284049 100 $a20060822d2006 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aVariations on constants $eflow analysis of sequential and parallel programs /$fMarkus Muller-Olm 205 $a1st ed. 2006. 210 $aBerlin ;$aNew York $cSpringer$d2006 215 $a1 online resource (XIII, 177 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v3800 225 1 $aLNCS sublibrary. SL 2, Programming and software engineering 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-45385-7 320 $aIncludes bibliographical references. 327 $a1. Introduction -- 2. A Hierarchy of Constants -- 3. Deciding Constants by Effective Weakest Preconditions -- 4. Limits of Parallel Flow Analysis -- 5. Parallel Flow Graphs -- 6. Non-atomic Execution -- 7. Dependence Traces -- 8. Detecting Copy Constants and Eliminating Faint Code -- 9. Complexity in the Non-atomic Scenario -- 10. Conclusion -- A. A Primer on Constraint-Based Program Analysis. 330 $aProgram analysis is concerned with techniques that automatically determine run-time properties of given programs prior to run-time. It is used for validation in order to ensure that programs serve their intended purpose and in further processing for efficient execution such as in optimizing compilers. Optimal program analysis provides a guarantee about the precision of the computed results. This monograph, a revised version of the author's habilitation thesis, focusses on optimal flow analysis of sequential and parallel programs. It studies algorithmic properties of various versions of the well-known constant-propagation problem. In order to come to grips with the variants considered, it combines techniques from different areas such as linear algebra, computable ring theory, abstract interpretation, program verification, complexity theory, etc. Combination of techniques is the key to further progress in automatic analysis and constant-propagation allows us to illustrate this point in a theoretical study. After a general overview, the monograph consists of three essentially self-contained parts that can be read independently of each other. These parts study: a hierarchy of constants in sequential programs, inherent limits of flow analysis of parallel programs, and how to overcome these limits by abandoning a classic atomic execution assumption. 410 0$aLecture notes in computer science ;$v3800. 410 0$aLNCS sublibrary.$nSL 2,$pProgramming and software engineering. 606 $aParallel programming (Computer science) 606 $aSequential processing (Computer science) 606 $aMathematical constants 606 $aVariables (Mathematics) 606 $aComputer programs$xCorrectness 615 0$aParallel programming (Computer science) 615 0$aSequential processing (Computer science) 615 0$aMathematical constants. 615 0$aVariables (Mathematics) 615 0$aComputer programs$xCorrectness. 676 $a004.21 700 $aMu?ller-Olm$b Markus$00 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768173503321 996 $aVariations on Constants$9772122 997 $aUNINA