LEADER 03523oam 2200673I 450 001 9910461755803321 005 20200520144314.0 010 $a1-283-36367-4 010 $a9786613363671 010 $a0-203-80640-9 010 $a1-136-65506-9 024 7 $a10.4324/9780203806401 035 $a(CKB)2670000000130903 035 $a(EBL)735289 035 $a(OCoLC)768081389 035 $a(SSID)ssj0000551924 035 $a(PQKBManifestationID)11368272 035 $a(PQKBTitleCode)TC0000551924 035 $a(PQKBWorkID)10538173 035 $a(PQKB)10361995 035 $a(MiAaPQ)EBC735289 035 $a(Au-PeEL)EBL735289 035 $a(CaPaEBR)ebr10519620 035 $a(CaONFJC)MIL336367 035 $a(EXLCZ)992670000000130903 100 $a20180706d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPower, resistance and liberation in therapy with survivors of trauma $eto have our hearts broken /$fTaiwo Afuape 210 1$aHove, East Sussex ;$aNew York, N.Y. :$cRoutledge,$d2011. 215 $a1 online resource (265 p.) 300 $aDescription based upon print version of record. 311 $a0-415-61189-X 311 $a0-415-61188-1 320 $aIncludes bibliographical references and index. 327 $apt. 1. Therapy, power, resistance and trauma -- pt. 2. Liberation and therapy : theory -- pt. 3. Liberation and therapy : practice -- pt. 4. Final reflections on theory and practice. 330 $a"This book offers reflections on how liberation might be experienced by clients as a result of the therapeutic relationship. Furthermore, it explores how power and resistance are most effectively and ethically understood and utilised in clinical practice with survivors of trauma. Power, Resistance and Liberation in Therapy with Survivors of Trauma draws together narrative therapy, co-ordinated management of meaning (CMM) and liberation psychology approaches. It critically reviews each approach and demonstrates what each contributes to the other as well as how to draw them together in a coherent way. The book presents: - an original take on CMM through the lenses of power and resistance - a new way of thinking about resistance in life and therapy, using the metaphor of creativity - numerous case examples to support strong theory-practice links. Through the exploration of power, resistance and liberation in therapy, this book presents innovative ways of conceptualising these issues. As such it will be of interest to anyone in the mental health fields of therapy, counselling, social work or critical psychology, regardless of their preferred model. It will also appeal to those interested in a socio-political contextual analysis of complex human experience"--$cProvided by publisher. 606 $aPsychic trauma$xTreatment 606 $aPost-traumatic stress disorder$xTreatment 606 $aPsychotherapy 606 $aCounseling 608 $aElectronic books. 615 0$aPsychic trauma$xTreatment. 615 0$aPost-traumatic stress disorder$xTreatment. 615 0$aPsychotherapy. 615 0$aCounseling. 676 $a616.85/210651 676 $a616.85210651 700 $aAfuape$b Taiwo$f1975-,$0930708 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910461755803321 996 $aPower, resistance and liberation in therapy with survivors of trauma$92093449 997 $aUNINA LEADER 02863 am 2200601 n 450 001 9910324035703321 005 20190312 010 $a2-8028-0338-7 024 7 $a10.4000/books.pusl.19521 035 $a(CKB)4100000008283906 035 $a(FrMaCLE)OB-pusl-19521 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/57508 035 $a(PPN)236710087 035 $a(EXLCZ)994100000008283906 100 $a20190528j|||||||| ||| 0 101 0 $afre 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuestions au libéralisme /$fChantal Mouffe, Rudolf Visker, Robert Cobbaut, Robert Castel, Jean-Christophe Merle, Anne-Marie Dillens, Otfried Höffe, Benoît Jadot 210 $aBruxelles $cPresses de l?Université Saint-Louis$d2019 215 $a1 online resource (118 p.) 311 $a2-8028-0125-2 330 $aAu cours de l'année académique 1997-98, l'École des Sciences philosophiques et religieuses a consacré ses leçons publiques au libéralisme. Privé d'adversaires déclarés aujourd'hui et porté aux nues par les tenants de "la mondialisation heureuse" (pour reprendre le titre d'un ouvrage d'A. Minc), le libéralisme n'a pas que des vertus... Certes, ses réalisations historiques sont particulières et multiples, mais ses principes politiques, économiques et sociaux, eux, ont des prétentions universelles. Objets de nombreuses contestations, ces prétentions demandent à être interrogées dans leur origine, leur contenu, leurs présupposés et finalités. Se dispenser de ce travail risque non seulement de nous laisser démunis face aux défis politiques, économiques, culturels et sociaux que nous avons à relever, mais plus fondamentalement encore, de nous aveugler sur une large partie de leurs enjeux. 606 $aLiberalism 610 $auniversalité 610 $amondialisation 610 $adéfi politique 610 $adémocratie 610 $alibéralisme 610 $adroit de l'homme 615 0$aLiberalism. 700 $aMouffe$b Chantal$0268416 701 $aVisker$b Rudolf$01287246 701 $aCobbaut$b Robert$0516511 701 $aCastel$b Robert$0126831 701 $aMerle$b Jean-Christophe$0540187 701 $aDillens$b Anne-Marie$01233223 701 $aHöffe$b Otfried$0421144 701 $aJadot$b Benoît$01283652 701 $aCastel$b Robert$0126831 701 $aCobbaut$b Robert$0516511 701 $aDillens$b Anne-Marie$01233223 701 $aHöffe$b Otfried$0421144 701 $aMerle$b Jean-Christophe$0540187 701 $aMouffe$b Chantal$0268416 701 $aVisker$b Rudi$0496612 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910324035703321 996 $aQuestions au libéralisme$93020117 997 $aUNINA LEADER 05008oam 2200517 450 001 9910790838903321 005 20190911100030.0 010 $a0-12-407916-4 035 $a(OCoLC)870340085 035 $a(MiFhGG)GVRL6ZNE 035 $a(EXLCZ)992550000001165416 100 $a20140415d2014 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aAccelerating MATLAB with GPU computing $ea primer with examples /$fJung W. Suh, Youngmin Kim 205 $aFirst edition. 210 1$aWaltham, MA :$cMorgan Kaufmann, an imprint of Elsevier,$d2014. 215 $a1 online resource (x, 248 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a0-12-408080-4 311 $a1-306-15442-1 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Accelerating MATLAB with GPU Computing; Copyright Page; Contents; Preface; Target Readers and Contents; Directions of this Book; GPU Utilization Using c-mex Versus Parallel Computing Toolbox; Tutorial Approach Versus Case Study Approach; CUDA Versus OpenCL; 1 Accelerating MATLAB without GPU; 1.1 Chapter Objectives; 1.2 Vectorization; 1.2.1 Elementwise Operation; 1.2.2 Vector/Matrix Operation; 1.2.3 Useful Tricks; 1.3 Preallocation; 1.4 For-Loop; 1.5 Consider a Sparse Matrix Form; 1.6 Miscellaneous Tips; 1.6.1 Minimize File Read/Write Within the Loop 327 $a1.6.2 Minimize Dynamically Changing the Path and Changing the Variable Class 1.6.3 Maintain a Balance Between the Code Readability and Optimization; 1.7 Examples; 2 Configurations for MATLAB and CUDA; 2.1 Chapter Objectives; 2.2 MATLAB Configuration for c-mex Programming; 2.2.1 Checklists; 2.2.1.1 C/C++ Compilers; 2.2.1.2 NVIDIA CUDA Compiler nvcc; 2.2.2 Compiler Selection; 2.3 "Hello, mex!" using C-MEX; 2.3.1.1 Summary; 2.4 CUDA Configuration for MATLAB; 2.4.1 Preparing CUDA Settings; 2.5 Example: Simple Vector Addition Using CUDA; 2.5.1.1 Summary; 2.6 Example with Image Convolution 327 $a2.6.1 Convolution in MATLAB 2.6.2 Convolution in Custom c-mex; 2.6.3 Convolution in Custom c-mex with CUDA; 2.6.4 Brief Time Performance Profiling; 2.7 Summary; 3 Optimization Planning through Profiling; 3.1 Chapter Objectives; 3.2 MATLAB Code Profiling to Find Bottlenecks; 3.2.1 More Accurate Profiling with Multiple CPU Cores; 3.3 c-mex Code Profiling for CUDA; 3.3.1 CUDA Profiling Using Visual Studio; 3.3.2 CUDA Profiling Using NVIDIA Visual Profiler; 3.4 Environment Setting for the c-mex Debugger; 4 CUDA Coding with c-mex; 4.1 Chapter Objectives; 4.2 Memory Layout for c-mex 327 $a4.2.1 Column-Major Order 4.2.2 Row-Major Order; 4.2.3 Memory Layout for Complex Numbers in c-mex; 4.3 Logical Programming Model; 4.3.1 Logical Grouping 1; 4.3.2 Logical Grouping 2; 4.3.3 Logical Grouping 3; 4.4 Tidbits of GPU; 4.4.1 Data Parallelism; 4.4.2 Streaming Processor; 4.4.3 Steaming Multiprocessor; 4.4.4 Warp; 4.4.5 Memory; 4.5 Analyzing Our First Nai?ve Approach; 4.5.1 Optimization A: Thread Blocks; 4.5.2 Optimization B; 4.5.3 Conclusion; 5 MATLAB and Parallel Computing Toolbox; 5.1 Chapter Objectives; 5.2 GPU Processing for Built-in MATLAB Functions; 5.2.1 Pitfalls in GPU Processing 327 $a5.3 GPU Processing for Non-Built-in MATLAB Functions 5.4 Parallel Task Processing; 5.4.1 MATLAB Worker; 5.4.2 parfor; 5.5 Parallel Data Processing; 5.5.1 spmd; 5.5.2 Distributed and Codistributed Arrays; 5.5.3 Workers with Multiple GPUs; 5.6 Direct use of CUDA Files without c-mex; 6 Using CUDA-Accelerated Libraries; 6.1 Chapter Objectives; 6.2 CUBLAS; 6.2.1 CUBLAS Functions; 6.2.2 CUBLAS Matrix-by-Matrix Multiplication; 6.2.2.1 Step 1; 6.2.2.2 Step 2; 6.2.2.3 Step 3; 6.2.2.4 Step 4; 6.2.2.5 Step 5; 6.2.2.6 Step 6; 6.2.2.7 Step 7; 6.2.2.8 Step 8; 6.2.2.9 Step 9 327 $a6.2.3 CUBLAS with Visual Profiler 330 $aBeyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting 606 $aGraphics processing units 606 $aNumerical analysis$xData processing 615 0$aGraphics processing units. 615 0$aNumerical analysis$xData processing. 676 $a518.0285 700 $aSuh$b Jung W$0963046 702 $aKim$b Youngmin 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910790838903321 996 $aAccelerating MATLAB with GPU computing$93872119 997 $aUNINA