John Von Neumann

Total Page:16

File Type:pdf, Size:1020Kb

John Von Neumann 1 2 1 1 n ¨1 ¨2 2 3 a, a(a≧a) 4 1 n (Turing Machine) 1936Alan Turing Alan Turing 1912-1954 Σ: K: • •Σ •K • • 5 2 RAM (Random Access Machine) () ¨ ¨ ¨ 6 M=(K,Σ,δ,s) K s∈K Σ K∩Σ=`␣’`’ `␣’ `␣’ δKΣ → K∪{h,``yes’’,``no’’})Σ{←,→,}, h: halting state () yes: accepting state ( no: rejecting state ( ←: →: : δ(q, )=(p, ,→) 7 01 M=(K,Σ,δ,s), K={s,q,q0,q1}, Σ={0,1, ␣,} δ(s,0)=(s,0,→) δ(s,1)=(s,1,→) δ(s, ␣)=(q, ␣,←) 010 010 010 010 δ(s, )=(s, ,→) s s s s δ(q,0)=(q0, ␣,→) δ(q,1)=(q , ␣,→) 1 010␣ 010␣ 01␣␣ 01␣0 δ(q, ␣)=(q, ␣,) δ(q, )=(h, ,→) s q q0 s δ(q0,0)=(s,0,←) δ(q0,1)=(s,0,←) 01␣0 0␣␣0 0␣10 0␣10 δ(q0, ␣)=(s,0,←) q q1 s q δ(q0, )=(h, ␣,→) δ(q1,0)=(s,1,←) 10 010 010 010 δ(q1,1)=(s,1,←) ␣␣ ␣ ␣ ␣ δ(q , )=(s,1,←) 1 ␣ q0 s q h δ(q1, )=(h, ␣,→) 8 Σ*Σ def Σ*f ⇔ x∈Σ* Mxf(x) M δKΣk → K∪{h,``yes’’,``no’’})Σk{←,→,}k δKΣ → 2K∪{h,``yes’’,``no’’})Σ{←,→,} 2XXX 9 ChurchChurch-Turing)(1936) Alonzo Church, 1903-1995, f ⇔ fλ ⇔ f Gödel Church Turing Church, Kleene Turing λ (λ) 10 • →YES • Mp Mp x(p,x)Mx 11 Mpx(p,x) Mx halt halt(p,x)= 1 if p x 0 otherwise halt 12 halt halt haltM M Mp if(halt(u,u)=1) { while(true){ u←u;} M(u=)p } else { ⇒halt(p,p)=1 return(0); ⇒Mp } () M(u=p) ⇒halt(p,p)=0 ⇒Mp halt 13 14 1966(ACM) 2007 Edmund M. ClarKe 2003 Alan Kay E. Allen EmersonJoseph Sifakis LSI 2004 Vinton G. Cerf Robert E. Kahn TCP/IP 2005 Peter Naur Algol 60 2008 Barbara LisKov() 2006 Frances E Allen ( CLUArgus 2010 Leslie G. Valiant 2009 Charles P. ThacKer 2011 Judea Pearl Alto PC 2012 Silvio Micali, Shafi Goldwasser 2013 Leslie Lamport URL: https://amturing.acm.org/byyear.cfm 2014 Michael StonebraKer 2015 Whitfield Diffie, Martin Hellman 2016 Berners-Lee, Tim World Wide Web (WWW) 2017 John L. Hennessy, David Patterson 2018 Yoshua Bengio, Geoffrey E Hinton, Yann LeCun 2019 Edwin E. Catmull (*1), PatricK M. Hanrahan (CG)15 (*1 ACM EATCS 5,000 2 Kurt Gödel, 2004 Maurice Herlihy, Michael Saks, Nir Shavit and Fotios Zaharoglou: applications of topology to the theory of distributed computing 1906-1978, 2005 Noga Alon, Yossi Matias and Mario Szegedy: their foundational contribution to streaming algorithms 2006 Manindra Agrawal, Neeraj Kayal, Nitin Saxena: the AKS primality test 2007 Alexander Razborov, Steven Rudich: natural proofs 2008 Daniel Spielman, Shanghua Teng: smoothed analysis of algorithms 2009 Omer Reingold, Salil Vadhan, Avi Wigderson: zig-zag product of graphs and undirected connectivity in log space 2010 Sanjeev Arora, Joseph S. B. Mitchell: their concurrent discovery of a polynomial-time approximation scheme (PTAS) for the Euclidean Travelling Salesman Problem (ETSP) 2011 Johan Håstad: proving optimal inapproximability result for various combinatorial problems 2012 Elias Koutsoupias, Christos Papadimitriou, Noam Nisan, Amir Ronen, Tim Roughgarden and Éva Tardos: laying the foundations of algorithmic game theory 2013 Dan Boneh, Matthew K. Franklin, and Antoine Joux: for multi-party Diffie–Hellman key exchange and the Boneh–Franklin scheme in cryptography 2014 Ronald Fagin, Amnon Lotem, and Moni Naor: for Optimal Aggregation Algorithms for Middleware 2015 Daniel Spielman, Shanghua Teng or their series of papers on nearly-linear-time Laplacian solvers #P1998 16 Fields Medal(1936-)Carl Friedrich Gauss Prize(2006-) 4 40 15,000IMU) Rolf Nevanlinna, 1895-1980, Year Laureate Nationality 1982 Robert Tarjan United States 1986 Leslie Valiant United Kingdom 1990 Alexander Razborov Russia 1994 Avi Wigderson Israel 1998 Peter Shor United States 2002 Madhu Sudan India/ United States 2006 Jon Kleinberg United States 2010 Daniel Spielman United States 2014 Subhash Khot india/ United States John von Neumann (1992-) 4000 (IEEE) 1990 3von Neumann 17.
Recommended publications
  • The Power of Abstraction
    The Power of Abstraction Barbara Liskov March 2013 MIT CSAIL Software is Complex Systems are big and they do complicated things and they may be distributed and/or concurrent Addressing Complexity Algorithms, data structures, protocols Addressing Complexity Algorithms, data structures, protocols Programming methodology Programming languages This Talk Programming methodology as it developed Programming languages Programming languages today The Situation in 1970 The software crisis! Programming Methodology How should programs be designed? How should programs be structured? The Landscape E. W. Dijkstra. Go To Statement Considered Harmful. Cacm, Mar. 1968 The Landscape N. Wirth. Program Development by Stepwise Refinement. Cacm, April 1971 The Landscape D. L. Parnas. Information Distribution Aspects of Design Methodology. IFIP Congress, 1971 “The connections between modules are the assumptions which the modules make about each other.” Modularity A program is a collection of modules Modularity A program is a collection of modules Each module has an interface, described by a specification Modularity A program is a collection of modules Each has an interface, described by a specification A module’s implementation is correct if it meets the specification A using module depends only on the specification Modularity A program is a collection of modules Each has an interface, described by a specification A module’s implementation is correct if it meets the specification A using module depends only on the specification E.g. a sort routine sort(a) Benefits of Modularity Local reasoning Modifiability Independent development The Situation in 1970 Procedures were the only type of module Not powerful enough, e.g., a file system Not used very much Complicated connections Partitions B.
    [Show full text]
  • A Philosophical Analysis of Causality in Econometrics
    A Philosophical Analysis of Causality in Econometrics Damien James Fennell London School of Economics and Political Science Thesis submitted to the University of London for the completion of the degree of a Doctor of Philosophy August 2005 1 UMI Number: U209675 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. Dissertation Publishing UMI U209675 Published by ProQuest LLC 2014. Copyright in the Dissertation held by the Author. Microform Edition © ProQuest LLC. All rights reserved. This work is protected against unauthorized copying under Title 17, United States Code. ProQuest LLC 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, Ml 48106-1346 Abstract This thesis makes explicit, develops and critically discusses a concept of causality that is assumed in structural models in econometrics. The thesis begins with a development of Herbert Simon’s (1953) treatment of causal order for linear deterministic, simultaneous systems of equations to provide a fully explicit mechanistic interpretation for these systems. Doing this allows important properties of the assumed causal reading to be discussed including: the invariance of mechanisms to intervention and the role of independence in interventions. This work is then extended to basic structural models actually used in econometrics, linear models with errors-in-the-equations. This part of the thesis provides a discussion of how error terms are to be interpreted and sets out a way to introduce probabilistic concepts into the mechanistic interpretation set out earlier.
    [Show full text]
  • Efficient Algorithms with Asymmetric Read and Write Costs
    Efficient Algorithms with Asymmetric Read and Write Costs Guy E. Blelloch1, Jeremy T. Fineman2, Phillip B. Gibbons1, Yan Gu1, and Julian Shun3 1 Carnegie Mellon University 2 Georgetown University 3 University of California, Berkeley Abstract In several emerging technologies for computer memory (main memory), the cost of reading is significantly cheaper than the cost of writing. Such asymmetry in memory costs poses a fun- damentally different model from the RAM for algorithm design. In this paper we study lower and upper bounds for various problems under such asymmetric read and write costs. We con- sider both the case in which all but O(1) memory has asymmetric cost, and the case of a small cache of symmetric memory. We model both cases using the (M, ω)-ARAM, in which there is a small (symmetric) memory of size M and a large unbounded (asymmetric) memory, both random access, and where reading from the large memory has unit cost, but writing has cost ω 1. For FFT and sorting networks we show a lower bound cost of Ω(ωn logωM n), which indicates that it is not possible to achieve asymptotic improvements with cheaper reads when ω is bounded by a polynomial in M. Moreover, there is an asymptotic gap (of min(ω, log n)/ log(ωM)) between the cost of sorting networks and comparison sorting in the model. This contrasts with the RAM, and most other models, in which the asymptotic costs are the same. We also show a lower bound for computations on an n × n diamond DAG of Ω(ωn2/M) cost, which indicates no asymptotic improvement is achievable with fast reads.
    [Show full text]
  • MIT Turing Laureates Propose Creation of School of Computing an Open Letter to President Rafael Reif
    9/26/2017 The Tech OPINION LETTER TO THE EDITOR MIT Turing laureates propose creation of School of Computing An open letter to President Rafael Reif By MIT Turing Laureates | Sep. 20, 2017 Facebook Dear Rafael, Twitter There comes a time, in the course of scientic evolution, when a discipline is ready to emerge from the womb of its parent disciplines and take its own place in the world. For Reddit computer science, or more accurately, for the eld of computing, this moment is now. Print Born from a combination of mathematics and electrical engineering, with the original intent of speeding up calculations, computer science has grown to encompass all information processing and most communications and now to provide an alternative evolutionary path to intelligence. Computer science is rapidly becoming an essential part of most academic disciplines, and students are voting with their feet. One third of MIT undergraduates are majoring in computer science. This trend is unlikely to slow down anytime soon. We, the 7 active MIT Turing Award winners, therefore write this open letter to recommend that you consider the bold step of establishing a School of Computing at MIT. The new school, a brother to the Schools of Engineering and Science, will allow the eld of computing, with its many https://thetech.com/2017/09/20/turing-laureates-open-letter-to-reif 1/4 9/26/2017 The Tech facets and sub-elds, to grow and interact naturally with the Institute’s scientic and engineering environment. The Tech Submit Campus Life Stories Today the study of computation is housed primarily in the EECS department within the School of Engineering, but departments are limited in their ability to hire and grow.
    [Show full text]
  • ABSTRACT CAUSAL PROGRAMMING Joshua Brulé
    ABSTRACT Title of dissertation: CAUSAL PROGRAMMING Joshua Brul´e Doctor of Philosophy, 2019 Dissertation directed by: Professor James A. Reggia Department of Computer Science Causality is central to scientific inquiry. There is broad agreement on the meaning of causal statements, such as \Smoking causes cancer", or, \Applying pesticides affects crop yields". However, formalizing the intuition underlying such statements and conducting rigorous inference is difficult in practice. Accordingly, the overall goal of this dissertation is to reduce the difficulty of, and ambiguity in, causal modeling and inference. In other words, the goal is to make it easy for researchers to state precise causal assumptions, understand what they represent, understand why they are necessary, and to yield precise causal conclusions with minimal difficulty. Using the framework of structural causal models, I introduce a causation coeffi- cient as an analogue of the correlation coefficient, analyze its properties, and create a taxonomy of correlation/causation relationships. Analyzing these relationships provides insight into why correlation and causation are often conflated in practice, as well as a principled argument as to why formal causal analysis is necessary. Next, I introduce a theory of causal programming that unifies a large number of previ- ously separate problems in causal modeling and inference. I describe the use and implementation of a causal programming language as an embedded, domain-specific language called `Whittemore'. Whittemore permits rigorously identifying and esti- mating interventional queries without requiring the user to understand the details of the underlying inference algorithms. Finally, I analyze the computational com- plexity in determining the equilibrium distribution of cyclic causal models.
    [Show full text]
  • Tools for Tutoring Theoretical Computer Science Topics
    University of Massachusetts Amherst ScholarWorks@UMass Amherst Doctoral Dissertations Dissertations and Theses November 2019 Tools for Tutoring Theoretical Computer Science Topics Mark McCartin-Lim University of Massachusetts Amherst Follow this and additional works at: https://scholarworks.umass.edu/dissertations_2 Part of the Artificial Intelligence and Robotics Commons, Graphics and Human Computer Interfaces Commons, Other Computer Sciences Commons, and the Theory and Algorithms Commons Recommended Citation McCartin-Lim, Mark, "Tools for Tutoring Theoretical Computer Science Topics" (2019). Doctoral Dissertations. 1797. https://doi.org/10.7275/15233091 https://scholarworks.umass.edu/dissertations_2/1797 This Open Access Dissertation is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. TOOLS FOR TUTORING THEORETICAL COMPUTER SCIENCE TOPICS A Dissertation Presented by MARK MCCARTIN-LIM Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY September 2019 College of Information and Computer Sciences c Copyright by Mark McCartin-Lim 2019 All Rights Reserved TOOLS FOR TUTORING THEORETICAL COMPUTER SCIENCE TOPICS A Dissertation Presented by MARK MCCARTIN-LIM Approved as to style and content by: Andrew McGregor, Co-chair Beverly Woolf, Co-chair David Mix Barrington, Member Siman Wong, Member James Allan, Department Chair College of Information and Computer Sciences DEDICATION To the students who faithfully came to my office hours, whose struggles and perseverance inspired this dissertation. To my good friend Lucas, who provided much needed moral support during the hardest times, and who gave me the courage to choose this dissertation topic.
    [Show full text]
  • Curriculum Vitae
    Curriculum Vitae Prof. Michal Feldman School of Computer Science, Tel-Aviv University Personal Details • Born: Israel, 1976 • Gender: Female • email: [email protected] Education • Ph.D.: Information Management and Systems, University of California at Berkeley, May 2005. Thesis title: Incentives for cooperation in peer-to-peer systems. • B.Sc.: Bar-Ilan University, Computer Science, Summa Cum Laude, June 1999. Academic Positions 2013 - present: Associate Professor, School of Computer Science, Tel-Aviv University, Israel. Associate Professor, School of Business Administration and Center for 2011 - 2013: the Study of Rationality, Hebrew University of Jerusalem, Israel. 2007 - 2011: Senior Lecturer, School of Business Administration and Center for the Study of Rationality, Hebrew University of Jerusalem, Israel. Additional Positions 2011 - 2013: Visiting Researcher (weekly visitor), Microsoft Research New England, Cambridge, MA, USA. 2011 - 2013: Visiting Professor, Harvard School of Engineering and Applied Sciences, Center for Research on Computation and Society, School of Computer Science, Cambridge, MA, USA (Marie Curie IOF program). 2008 - 2011: Senior Researcher (part-time), Microsoft Research in Herzliya, Israel. 2007 - 2013: Member, Center for the Study of Rationality, Hebrew University. 2005 - 2007: Post-Doctoral Fellow (Lady Davis fellowship), Hebrew University, School of Computer Science and Engineering. 2004: Ph.D. Intern, HP Labs, Palo Alto, California, USA. 1 Grants (Funding ID) • European Research Council (ERC) Starting Grant: \Algorithmic Mechanism Design - Beyond Truthfulness": 1.4 million Euro, 2013-2017. • FP7 Marie Curie International Outgoing Fellowship (IOF): \Innovations in Algorithmic Game Theory" (IAGT): 313,473 Euro, 2011-2014. • Israel Science Foundation (ISF) grant. \Equilibria Under Coalitional Covenants in Non-Cooperative Games - Existence, Quality and Computation:" 688,000 NIS (172,000 NIS /year), 2009-2013.
    [Show full text]
  • Computational Learning Theory: New Models and Algorithms
    Computational Learning Theory: New Models and Algorithms by Robert Hal Sloan S.M. EECS, Massachusetts Institute of Technology (1986) B.S. Mathematics, Yale University (1983) Submitted to the Department- of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY June 1989 @ Robert Hal Sloan, 1989. All rights reserved The author hereby grants to MIT permission to reproduce and to distribute copies of this thesis document in whole or in part. Signature of Author Department of Electrical Engineering and Computer Science May 23, 1989 Certified by Ronald L. Rivest Professor of Computer Science Thesis Supervisor Accepted by Arthur C. Smith Chairman, Departmental Committee on Graduate Students Abstract In the past several years, there has been a surge of interest in computational learning theory-the formal (as opposed to empirical) study of learning algorithms. One major cause for this interest was the model of probably approximately correct learning, or pac learning, introduced by Valiant in 1984. This thesis begins by presenting a new learning algorithm for a particular problem within that model: learning submodules of the free Z-module Zk. We prove that this algorithm achieves probable approximate correctness, and indeed, that it is within a log log factor of optimal in a related, but more stringent model of learning, on-line mistake bounded learning. We then proceed to examine the influence of noisy data on pac learning algorithms in general. Previously it has been shown that it is possible to tolerate large amounts of random classification noise, but only a very small amount of a very malicious sort of noise.
    [Show full text]
  • Information Theory Methods in Communication Complexity
    INFORMATION THEORY METHODS IN COMMUNICATION COMPLEXITY BY NIKOLAOS LEONARDOS A dissertation submitted to the Graduate School—New Brunswick Rutgers, The State University of New Jersey in partial fulfillment of the requirements for the degree of Doctor of Philosophy Graduate Program in Computer Science Written under the direction of Michael Saks and approved by New Brunswick, New Jersey JANUARY, 2012 ABSTRACT OF THE DISSERTATION Information theory methods in communication complexity by Nikolaos Leonardos Dissertation Director: Michael Saks This dissertation is concerned with the application of notions and methods from the field of information theory to the field of communication complexity. It con- sists of two main parts. In the first part of the dissertation, we prove lower bounds on the random- ized two-party communication complexity of functions that arise from read-once boolean formulae. A read-once boolean formula is a formula in propositional logic with the property that every variable appears exactly once. Such a formula can be represented by a tree, where the leaves correspond to variables, and the in- ternal nodes are labeled by binary connectives. Under certain assumptions, this representation is unique. Thus, one can define the depth of a formula as the depth of the tree that represents it. The complexity of the evaluation of general read-once formulae has attracted interest mainly in the decision tree model. In the communication complexity model many interesting results deal with specific read-once formulae, such as disjointness and tribes. In this dissertation we use information theory methods to prove lower bounds that hold for any read-once ii formula.
    [Show full text]
  • Limitations and Possibilities of Algorithmic Mechanism Design By
    Incentives, Computation, and Networks: Limitations and Possibilities of Algorithmic Mechanism Design by Yaron Singer A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Christos Papadimitriou, Chair Professor Shachar Kariv Professor Scott Shenker Spring 2012 Incentives, Computation, and Networks: Limitations and Possibilities of Algorithmic Mechanism Design Copyright 2012 by Yaron Singer 1 Abstract Incentives, Computation, and Networks: Limitations and Possibilities of Algorithmic Mechanism Design by Yaron Singer Doctor of Philosophy in Computer Science University of California, Berkeley Professor Christos Papadimitriou, Chair In the past decade, a theory of manipulation-robust algorithms has been emerging to address the challenges that frequently occur in strategic environments such as the internet. The theory, known as algorithmic mechanism design, builds on the foundations of classical mechanism design from microeconomics and is based on the idea of incentive compatible pro- tocols. Such protocols achieve system-wide objectives through careful design that ensures it is in every agent's best interest to comply with the protocol. As it turns out, however, implementing incentive compatible protocols as advocated in classical mechanism design the- ory often necessitates solving intractable problems. To address this, algorithmic mechanism design focuses on designing
    [Show full text]
  • Topology in Distributed Computing
    Die approbierte Originalversion dieser Diplom-/Masterarbeit ist an der Hauptbibliothek der Technischen Universität Wien aufgestellt (http://www.ub.tuwien.ac.at). The approved original version of this diploma or master thesis is available at the main library of the Vienna University of Technology (http://www.ub.tuwien.ac.at/englweb/). Topology in Distributed Computing DIPLOMARBEIT zur Erlangung des akademischen Grades Diplom-Ingenieur im Rahmen des Studiums Technische Informatik ausgeführt von Thomas Nowak Matrikelnummer 0425201 an der Fakultät für Informatik der Technischen Universität Wien Betreuer: Univ.Prof. Dr. Ulrich Schmid Wien, 18.03.2010 _______________________ ______________________ (Unterschrift Verfasser) (Unterschrift Betreuer) Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43/(0)1/58801-0 http://www.tuwien.ac.at Erklärung Thomas Nowak Rechte Wienzeile 73/23 1050 Wien Hiermit erkläre ich, dass ich diese Arbeit selbstständig verfasst habe, dass ich die verwendeten Quellen und Hilfsmittel vollständig angegeben habe und dass ich die Stellen der Arbeit – einschließlich Tabellen, Karten und Abbildungen –, die anderen Werken oder dem Internet im Wortlaut oder dem Sinn nach entnommen sind, auf jeden Fall unter Angabe der Quelle als Entlehnung kenntlich gemacht habe. Wien, 18.03.2010 ______________________ (Unterschrift) Abstract Topology is the general mathematical theory of convergence. Distributed com- puting is the formal investigation of communicating concurrent processes. We explore applications of topology to distributed computing in two directions: (1) Point-set topology and (2) algebraic topology. We use the former to study the topological structure of infinite execution trees. This enables us to unify a number of impossibility proofs, in particular, the impossibility of distributed consensus — the task of all processes in a system agreeing on a single value — in various (close to) asynchronous systems with crash failures.
    [Show full text]
  • On SZK and PP
    Electronic Colloquium on Computational Complexity, Revision 2 of Report No. 140 (2016) On SZK and PP Adam Bouland1, Lijie Chen2, Dhiraj Holden1, Justin Thaler3, and Prashant Nalini Vasudevan1 1CSAIL, Massachusetts Institute of Technology, Cambridge, MA USA 2IIIS, Tsinghua University, Beijing, China 3Georgetown University, Washington, DC USA Abstract In both query and communication complexity, we give separations between the class NISZK, con- taining those problems with non-interactive statistical zero knowledge proof systems, and the class UPP, containing those problems with randomized algorithms with unbounded error. These results significantly improve on earlier query separations of Vereschagin [Ver95] and Aaronson [Aar12] and earlier commu- nication complexity separations of Klauck [Kla11] and Razborov and Sherstov [RS10]. In addition, our results imply an oracle relative to which the class NISZK 6⊆ PP. This answers an open question of Wa- trous from 2002 [Aar]. The technical core of our result is a stronger hardness amplification theorem for approximate degree, which roughly says that composing the gapped-majority function with any function of high approximate degree yields a function with high threshold degree. Using our techniques, we also give oracles relative to which the following two separations hold: perfect zero knowledge (PZK) is not contained in its complement (coPZK), and SZK (indeed, even NISZK) is not contained in PZK (indeed, even HVPZK). Along the way, we show that HVPZK is contained in PP in a relativizing manner. We prove a number of implications of these results, which may be of independent interest outside of structural complexity. Specifically, our oracle separation implies that certain parameters of the Polariza- tion Lemma of Sahai and Vadhan [SV03] cannot be much improved in a black-box manner.
    [Show full text]