The document presents a coeffect type system that generalizes effect systems. Coeffect systems track context-dependent computations using comonads rather than monads. The coeffect calculus models both per-variable and whole-context dependencies using indexed comonads. It can capture properties like variable liveness, implicit parameters, and distributed computing contexts.
Algorithm for Fully Fuzzy Linear System with Hexegonal Fuzzy Number Matrix by...ijcoa
A general fuzzy linear system of equation is investigated using embedding approach. In the literature of fuzzy system: 1) Fuzzy linear system, 2) Fully fuzzy linear system, are more important. In both classes of these system usually the author considered triangular and trapezoidal type of fuzzy numbers. In this paper, we introduce hexagonal fuzzy number and computing algorithm for fully fuzzy linear system (where is a fuzzy matrix and are fuzzy vectors) with Hexagonal fuzzy numbers, by Using the singular value Decomposition method.
Scalable Semantic Version Control for Linked Data Management (presented at 2n...Claudius Hauptmann
Scalable Semantic Version Control
for Linked Data Management
Claudius Hauptmann, Michele Brocco and Wolfgang Wörndl
Technische Universität München
2nd Workshop on Linked Data Quality at ESWC 2015 (June 1st, 2015 - Portorož, Slovenia)
http://ldq.semanticmultimedia.org/program
https://www.dropbox.com/s/o2wbd386g676ul6/LDQ2015_paper_06.pdf?dl=1
Algorithm for Fully Fuzzy Linear System with Hexegonal Fuzzy Number Matrix by...ijcoa
A general fuzzy linear system of equation is investigated using embedding approach. In the literature of fuzzy system: 1) Fuzzy linear system, 2) Fully fuzzy linear system, are more important. In both classes of these system usually the author considered triangular and trapezoidal type of fuzzy numbers. In this paper, we introduce hexagonal fuzzy number and computing algorithm for fully fuzzy linear system (where is a fuzzy matrix and are fuzzy vectors) with Hexagonal fuzzy numbers, by Using the singular value Decomposition method.
Scalable Semantic Version Control for Linked Data Management (presented at 2n...Claudius Hauptmann
Scalable Semantic Version Control
for Linked Data Management
Claudius Hauptmann, Michele Brocco and Wolfgang Wörndl
Technische Universität München
2nd Workshop on Linked Data Quality at ESWC 2015 (June 1st, 2015 - Portorož, Slovenia)
http://ldq.semanticmultimedia.org/program
https://www.dropbox.com/s/o2wbd386g676ul6/LDQ2015_paper_06.pdf?dl=1
THE LEFT AND RIGHT BLOCK POLE PLACEMENT COMPARISON STUDY: APPLICATION TO FLIG...ieijjournal1
It is known that if a linear-time-invariant MIMO system described by a state space equation has a number
of states divisible by the number of inputs and it can be transformed to block controller form, we can
design a state feedback controller using block pole placement technique by assigning a set of desired Block
poles. These may be left or right block poles. The idea is to compare both in terms of system’s response.
THE LEFT AND RIGHT BLOCK POLE PLACEMENT COMPARISON STUDY: APPLICATION TO FLIG...ieijjournal
It is known that if a linear-time-invariant MIMO system described by a state space equation has a number of states divisible by the number of inputs and it can be transformed to block controller form, we can design a state feedback controller using block pole placement technique by assigning a set of desired Block poles. These may be left or right block poles. The idea is to compare both in terms of system’s response.
Investigation of auto-oscilational regimes of the system by dynamic nonlinear...IJECEIAES
The paper proposes a method for the analysis and synthesis of self-oscillations in the form of a finite, predetermined number of terms of the Fourier series in systems reduced to single-loop, with one element having a nonlinear static characteristic of an arbitrary shape and a dynamic part, which is the sum of the products of coordinates and their derivatives. In this case, the nonlinearity is divided into two parts: static and dynamic nonlinearity. The solution to the problem under consideration consists of two parts. First, the parameters of self-oscillations are determined, and then the parameters of the nonlinear dynamic part of the system are synthesized. When implementing this procedure, the calculation time depends on the number of harmonics considered in the first approximation, so it is recommended to choose the minimum number of them in calculations. An algorithm for determining the self-oscillating mode of a control system with elements that have dynamic nonlinearity is proposed. The developed method for calculating self-oscillations is suitable for solving various synthesis problems. The generated system of equations can be used to synthesize the parameters of both linear and nonlinear parts. The advantage is its versatility.
Hey friends, here is my "query tree" assignment. :-) I have searched a lot to get this master piece :p and I can guarantee you that this one gonna help you In Sha ALLAH more than any else document on the subject. Have a good day :-)
Complex systems,
Software systems,
Database systems,
Operating systems,
Bioinformatics systems,
Social Systems,
Service Oriented Systems,
Cloud Systems,
Ubiquitous systems,
Distributed Version Control Systems (GitHub), and
Software Container Systems (DockerHub and Google App Engine).
Approaches to online quantile estimationData Con LA
Data Con LA 2020
Description
This talk will explore and compare several compact data structures for estimation of quantiles on streams, including a discussion of how they balance accuracy against computational resource efficiency. A new approach providing more flexibility in specifying how computational resources should be expended across the distribution will also be explained. Quantiles (e.g., median, 99th percentile) are fundamental summary statistics of one-dimensional distributions. They are particularly important for SLA-type calculations and characterizing latency distributions, but unlike their simpler counterparts such as the mean and standard deviation, their computation is somewhat more expensive. The increasing importance of stream processing (in observability and other domains) and the impossibility of exact online quantile calculation together motivate the construction of compact data structures for estimation of quantiles on streams. In this talk we will explore and compare several such data structures (e.g., moment-based, KLL sketch, t-digest) with an eye towards how they balance accuracy against resource efficiency, theoretical guarantees, and desirable properties such as mergeability. We will also discuss a recent variation of the t-digest which provides more flexibility in specifying how computational resources should be expended across the distribution. No prior knowledge of the subject is assumed. Some familiarity with the general problem area would be helpful but is not required.
Speaker
Joe Ross, Splunk, Principal Data Scientist
High-Dimensional Network Estimation using ECLHPCC Systems
Kshitij Khare & Syed Rahman, University of Florida, present at the 2015 HPCC Systems Engineering Summit Community Day. In this presentation, we will discuss the motivation/theory behind CONCORD and its advantages over previous methods. In particular, we will discuss how the CONCORD estimate is superior to the empirical covariance matrix. We will end with an example detailing the implementation and use of the CONCORD algorithm in ECL. An exposure to multivariate statistics is helpful, but not necessary. Attendees should expect to come out with an understanding of sparse covariance estimation, its applications and how to use the CONCORD algorithm in ECL.
THE LEFT AND RIGHT BLOCK POLE PLACEMENT COMPARISON STUDY: APPLICATION TO FLIG...ieijjournal1
It is known that if a linear-time-invariant MIMO system described by a state space equation has a number
of states divisible by the number of inputs and it can be transformed to block controller form, we can
design a state feedback controller using block pole placement technique by assigning a set of desired Block
poles. These may be left or right block poles. The idea is to compare both in terms of system’s response.
THE LEFT AND RIGHT BLOCK POLE PLACEMENT COMPARISON STUDY: APPLICATION TO FLIG...ieijjournal
It is known that if a linear-time-invariant MIMO system described by a state space equation has a number of states divisible by the number of inputs and it can be transformed to block controller form, we can design a state feedback controller using block pole placement technique by assigning a set of desired Block poles. These may be left or right block poles. The idea is to compare both in terms of system’s response.
Investigation of auto-oscilational regimes of the system by dynamic nonlinear...IJECEIAES
The paper proposes a method for the analysis and synthesis of self-oscillations in the form of a finite, predetermined number of terms of the Fourier series in systems reduced to single-loop, with one element having a nonlinear static characteristic of an arbitrary shape and a dynamic part, which is the sum of the products of coordinates and their derivatives. In this case, the nonlinearity is divided into two parts: static and dynamic nonlinearity. The solution to the problem under consideration consists of two parts. First, the parameters of self-oscillations are determined, and then the parameters of the nonlinear dynamic part of the system are synthesized. When implementing this procedure, the calculation time depends on the number of harmonics considered in the first approximation, so it is recommended to choose the minimum number of them in calculations. An algorithm for determining the self-oscillating mode of a control system with elements that have dynamic nonlinearity is proposed. The developed method for calculating self-oscillations is suitable for solving various synthesis problems. The generated system of equations can be used to synthesize the parameters of both linear and nonlinear parts. The advantage is its versatility.
Hey friends, here is my "query tree" assignment. :-) I have searched a lot to get this master piece :p and I can guarantee you that this one gonna help you In Sha ALLAH more than any else document on the subject. Have a good day :-)
Complex systems,
Software systems,
Database systems,
Operating systems,
Bioinformatics systems,
Social Systems,
Service Oriented Systems,
Cloud Systems,
Ubiquitous systems,
Distributed Version Control Systems (GitHub), and
Software Container Systems (DockerHub and Google App Engine).
Approaches to online quantile estimationData Con LA
Data Con LA 2020
Description
This talk will explore and compare several compact data structures for estimation of quantiles on streams, including a discussion of how they balance accuracy against computational resource efficiency. A new approach providing more flexibility in specifying how computational resources should be expended across the distribution will also be explained. Quantiles (e.g., median, 99th percentile) are fundamental summary statistics of one-dimensional distributions. They are particularly important for SLA-type calculations and characterizing latency distributions, but unlike their simpler counterparts such as the mean and standard deviation, their computation is somewhat more expensive. The increasing importance of stream processing (in observability and other domains) and the impossibility of exact online quantile calculation together motivate the construction of compact data structures for estimation of quantiles on streams. In this talk we will explore and compare several such data structures (e.g., moment-based, KLL sketch, t-digest) with an eye towards how they balance accuracy against resource efficiency, theoretical guarantees, and desirable properties such as mergeability. We will also discuss a recent variation of the t-digest which provides more flexibility in specifying how computational resources should be expended across the distribution. No prior knowledge of the subject is assumed. Some familiarity with the general problem area would be helpful but is not required.
Speaker
Joe Ross, Splunk, Principal Data Scientist
High-Dimensional Network Estimation using ECLHPCC Systems
Kshitij Khare & Syed Rahman, University of Florida, present at the 2015 HPCC Systems Engineering Summit Community Day. In this presentation, we will discuss the motivation/theory behind CONCORD and its advantages over previous methods. In particular, we will discuss how the CONCORD estimate is superior to the empirical covariance matrix. We will end with an example detailing the implementation and use of the CONCORD algorithm in ECL. An exposure to multivariate statistics is helpful, but not necessary. Attendees should expect to come out with an understanding of sparse covariance estimation, its applications and how to use the CONCORD algorithm in ECL.
Structural Dynamic Reanalysis of Beam Elements Using Regression MethodIOSR Journals
This paper concerns with the reanalysis of Structural modification of a beam element based on
natural frequencies using polynomial regression method. This method deals with the characteristics of
frequency of a vibrating system and the procedures that are available for the modification of physical
parameters of vibrating structural system. The method is applied on a simple cantilever beam structure and Tstructure
for approximate structural dynamic reanalysis. Results obtained from the assumed conditions of the
problem indicates the high quality approximation of natural frequencies using finite element method and
regression method.
Similar to Coeffects: A Calculus of Context-Dependent Computation (20)
Domain Specific Languages: The Functional WayTomas Petricek
In software development, we often face the same problem over and over again. For example, when designing user-interfaces, we need to specify the layout of components; when designing financial systems, we need to detect various patterns in changing prices. The Domain Specific Language (DSL) approach is to design a language for the specific problem domain and then use it repeatedly to solve multiple instances of the same problem.
In this talk, we look how to think about DSLs in a functional way. This lets us focus on the domain. Rather than worrying about the syntax, we start by understanding what problems we actually want to model and what is the best way to do so. Along the way, we’ll look at three fun examples ranging from a language for building 3D objects to a language for detecting price change patterns.
The ability to take data, understand it, visualize it and extract useful information from it is becoming a hugely important skill. How can you turn all those logs, histories of purchases and trades or open government data, into useful information that help your business make money?
In this talk, we’ll look at doing data science using F#. The F# language is perfectly suited for this task – type providers integrate external data directly into the language – your language suddenly _understands_ CSV, XML, JSON, REST services and other sources. The interactive development style makes it easy to explore data and test your algorithms as you’re writing them. Rich set of libraries for working with data frames, time series and for visualization gives you all the tools you need. And finally – F# easily integrates with statistical environments like R and Matlab, giving you access to the industry standard libraries.
The ability to take data, understand it, visualize it and extract useful information from it is becoming a hugely important skill. How can you turn all those logs, histories of purchases and trades or open government data, into useful information that help your business make money?
In this talk, we’ll look at doing data science using F#. The F# language is perfectly suited for this task – type providers integrate external data directly into the language – your language suddenly _understands_ CSV, XML, JSON, REST services and other sources. The interactive development style makes it easy to explore data and test your algorithms as you’re writing them. Rich set of libraries for working with data frames, time series and for visualization gives you all the tools you need. And finally – F# easily integrates with statistical environments like R and Matlab, giving you access to the industry standard libraries.
F# and Financial Data Making Data Analysis SimpleTomas Petricek
If there was ever a "poster child" for complex and demanding data tasks it should be finance. Financial data is often ugly, complex and big! Simplify your data analysis by using F#. This talk focuses on the open-source data analysis package "Deedle", which provides tools for data and time-series analysis.
When designing software, we often need to solve numerous instances of the same problem. When designing user-interfaces, we need to describe the layout and interaction. When financial systems, we need to describe a wide range of financial contracts or, for example, recognize different patterns in price change.
Domain Specific Languages (DSLs) give us a way to solve such repeating problems. By designing a composable functional library, we can build an expressive language for describing our problems. Using the flexible F# syntax, we can get code that even non-programmers can understand.
In this practically oriented talk, we'll develop a number of sample DSLs, ending with realistic examples. We'll cover both basic principles of DSL design as well as advanced tricks, such as using the F# 3.0 query syntax.
How F# Learned to Stop Worrying and Love the DataTomas Petricek
The world of data speaks a different language than the world of programming languages. It uses REST, SQL database schema, XML, JSON while programming languages only understand types and classes. This causes big confusion when we try to access data from programming languages, especially from those with (otherwise very useful) static type systems.
How can a programming language learn to understand data? In this talk, I'll show how this is done using type providers in F# 3.0. You'll see how integrating data into the programming language opens the possibilities for creating exciting applications.
Information-rich programming in F# (ML Workshop 2012)Tomas Petricek
We live in an information-rich world that provides huge opportunities for programmers to explore and create exciting applications. Traditionally, statically typed programming languages have not been aware of the data types that are implicitly available in the outer world such as the web, databases and semi-structured files. This tutorial presents the recent work on F# Type Providers - a language mechanism that enables a smooth integration of diverse data sources into an ML-style programming language. As a case study, we look at a type provider for accessing the world development indicators from the World Bank and we will discuss some intriguing research problems associated with mapping real-world data into an ML-style type system.
Talk slides from the Functional Programming eXchange 2012 on F# type providers. Examples include WorldBank data, SQL, OData and WSDL as well as structure inference for XML files.
Slides from a brief presentation about the 'docase' notation that I did at Haskell Hackathon in Cambridge. The notation makes it easier to work with monads that have some additional operations (such as Par monad or Parsers).
Accessing loosely structured data from F# and C#Tomas Petricek
Slides from my talk at GOTO 2011. The presentation discusses how to bridge the impedance mismatch between the structure used in programming languages (classes, records, unions, ...) and structure used in data sources (database schema, XML file or JSON document). The talk shows how to solve this problem at three scales - using dynamic typing, by defining structure explicitly and using F# type providers.
Talk about server-side programming in F# from Functional Programming eXchange 2011 at SkillsMatter. The talk progresses from callback-based programming to asynchronous workflows and to agents in F#.
Turning to the Functional Side using C# and F#. In this tutorial, we introduce essential functional concepts using analogies from the object-oriented world. We also look at a real-world point of sale application written using Silverlight and asynchronous workflows.
One of the key concepts of functional programming is compositionality – the fact that we can build complex software using several basic “building blocks” and just a few ways of combining them. In this talk, I’ll demonstrate how we can teach this concept using F#. We’ll start with a basic example of this approach that even high-school students can easily understand – numerical expressions. Then we’ll move to more exciting examples of using library for composing 3D graphics. We’ll see that creating a fractal tree is not much more complicated than calculating the area of a triangle.
The recording is available online at: http://www.communityforfsharp.net/
Talk about message passing concurrency in F# using agents. In this style of programming, we write application as a group of agents that run in parallel and communicate by sending immutable messages to each other. We’ll discuss several common patterns that you can use for structuring agent-based applications. For example, we’ll look how to implement pipeline processing and map-reduce pattern using agents.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Coeffects: A Calculus of Context-Dependent Computation
1. Coeffects:A calculus of context-dependent computation
Tomas Petricek, Dominic Orchard and Alan Mycroft
University of Cambridge
{name.surname}@cl.cam.ac.uk|@tomaspetricek| @dorchard
3. Properties of computations
Effect systems
Effects on environment
Modeled using monads
Coeffect systems
Requirements on environment
Modeled using comonads
Γ⊢푒:휏&흈
Γ@풓⊢푒:휏
4. View from the extreme left
Variable related
Liveness
Bounded linear logic
Data-flow programming
Provenance
Environment related
Implicit parameters
Type classes
Distributed computing
Platform versioning
6. Coeffect calculus for bounded reuse
Coeffect annotations
track number of variable uses
vectorof variable annotations + function annotation
richer structure than effect systems
푦:int@1⊢휆푥→푦+푥+푥∶푖푛푡→ퟐ 푖푛푡
10. Coeffect calculus for implicit parameters
Tracking implicit parameters
Non-determinism can be fixed by annotation
@{?zone}⊢휆()→?time+?zone∶푢푛푖푡 {?zone} 푡푖푚푒
time} @{?time,?zone}⊢휆()→?time+?zone∶푢푛푖푡→∅ 푡푖푚푒
11. Coeffect calculus for implicit parameters
Tracking implicit parameters
Annotation does not mirror context structure
Not the same as reader monadΓ,푥:휏1@푟∪푠⊢푒:휏2Γ@푟⊢휆푥.푒∶휏1→푠 휏2
13. Unified system
Coeffect scalar structure (⊗,⊕,use,ign,≤)
Generalized semiringstructure
Individual variable or function annotations
Shape-indexed coeffect(⨲,,⊥)
Context splittingand merging
Per-variable or whole-context
⨲
14. Semantics using indexed comonads
Monadic semanticsComonadic semantics
It is not as simple
휆-calculus is asymmetric (many to one)
per-variable orwhole-context? Γ@푹⊢푒:휏:푪푹Γ→휏Γ⊢푒:휏&흈:Γ→푴흈휏
15. Why coeffects matter?
generalize interesting systems
liveness, data-flow, implicit parameters, type classes
comonadsare cool
model both per-variable and whole-context
indexed
{tomas.petricek, dominic.orchard, alan.mycroft}@cl.cam.ac.uk @tomaspetricek|@dorchard| #coeffects