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  • Sixth Iteration
    Sixth Iteration

    An artificially intelligent machine who falls in love with the scientist hired to program him, goes on the run to escape the billion dollar robotics corporation that will do anything to get him back.Not long after Sapphire's "accident", she is recruited by Elito, a spy agency in the business of corporate espionage. While on assignment, she falls under the deadly spell of a dashing but dangerous CEO, and must choose whether to run afoul of the man she is falling in love with, or the organization that hired her.

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  • Expressive Iteration : Designing for Meaningful Routines
    Expressive Iteration : Designing for Meaningful Routines

    A ground-breaking guide to thinking about how routine activities can be designed and innovated to develop narrative meaning and a sense of purpose.Iteration is an integral part of daily routines, such as sleep-wake cycles, commuting, workouts, chores, or practising an instrument.While many iterations just monotonously repeat, others can lead to progression or evolution.With subtle variations among iterations, we can create meaning out of repetitive acts, forging narratives from them and thus making them meaningful to us.Chow draws on rhetoric, psychology, narratology and design-thinking to show both in theory and in practice, how we can innovate the design of mundane and routine activities to give them meaning and expression.He does so by examining Asian and European originated examples, across a range of domains including visual arts, literature, digital art, video games and mobile applications. A must-read for designers and enthusiasts looking for ways to innovate across all domains and media and transform tedious repetitive activities into acts of intention.

    Price: 38.99 £ | Shipping*: 0.00 £
  • Expressive Iteration : Designing for Meaningful Routines
    Expressive Iteration : Designing for Meaningful Routines

    A ground-breaking guide to thinking about how routine activities can be designed and innovated to develop narrative meaning and a sense of purpose.Iteration is an integral part of daily routines, such as sleep-wake cycles, commuting, workouts, chores, or practising an instrument.While many iterations just monotonously repeat, others can lead to progression or evolution.With subtle variations among iterations, we can create meaning out of repetitive acts, forging narratives from them and thus making them meaningful to us.Chow draws on rhetoric, psychology, narratology and design-thinking to show both in theory and in practice, how we can innovate the design of mundane and routine activities to give them meaning and expression.He does so by examining Asian and European originated examples, across a range of domains including visual arts, literature, digital art, video games and mobile applications. A must-read for designers and enthusiasts looking for ways to innovate across all domains and media and transform tedious repetitive activities into acts of intention.

    Price: 135.00 £ | Shipping*: 0.00 £
  • Agile 2 : The Next Iteration of Agile
    Agile 2 : The Next Iteration of Agile

    Agile is broken. Most Agile transformations struggle. According to an Allied Market Research study, "63% of respondents stated the failure of agile implementation in their organizations." The problems with Agile start at the top of most organizations with executive leadership not getting what agile is or even knowing the difference between success and failure in agile. Agile transformation is a journey, and most of that journey consists of people learning and trying new approaches in their own work.An agile organization can make use of coaches and training to improve their chances of success.But even then, failure remains because many Agile ideas are oversimplifications or interpreted in an extreme way, and many elements essential for success are missing.Coupled with other ideas that have been dogmatically forced on teams, such as "agile team rooms", and "an overall inertia and resistance to change in the Agile community," the Agile movement is ripe for change since its birth twenty years ago. "Agile 2" represents the work of fifteen experienced Agile experts, distilled into Agile 2: The Next Iteration of Agile by seven members of the team.Agile 2 values these pairs of attributes when properly balanced: thoughtfulness and prescription; outcomes and outputs, individuals and teams; business and technical understanding; individual empowerment and good leadership; adaptability and planning.With a new set of Agile principles to take Agile forward over the next 20 years, Agile 2 is applicable beyond software and hardware to all parts of an agile organization including "Agile HR", "Agile Finance", and so on. Like the original "Agile", "Agile 2", is just a set of ideas - powerful ideas.To undertake any endeavor, a single set of ideas is not enough.But a single set of ideas can be a powerful guide.

    Price: 22.99 £ | Shipping*: 3.99 £
  • What is the iteration rule?

    The iteration rule is a mathematical concept that defines how to generate the next term in a sequence or series based on the previous term. It is a formula or set of instructions that allows for the repetition of a process to create a pattern or progression. By following the iteration rule, one can continue to generate new terms in the sequence or series, allowing for the exploration of patterns and relationships within the data.

  • Why does the Picard iteration fail?

    The Picard iteration can fail to converge if the fixed-point mapping is not a contraction mapping, meaning that it does not contract the distance between points in the space. This can happen if the mapping has regions of steep slope or if the initial guess is too far from the fixed point. In these cases, the iteration may not converge to the fixed point or may converge very slowly, making it impractical for practical use. Additionally, the Picard iteration may fail if the fixed-point mapping is not continuous or differentiable, as this violates the assumptions required for convergence.

  • What is a general iteration method?

    A general iteration method is a mathematical technique used to solve equations or find the roots of a function. It involves repeatedly applying a specific formula or process to an initial guess in order to converge towards the solution. The process is typically iterative, meaning it is repeated until a certain level of accuracy is achieved. General iteration methods are widely used in numerical analysis and computational mathematics to solve a variety of problems.

  • How does the fixed point iteration work?

    Fixed point iteration is a method used to find the fixed point of a function, which is a value that does not change when the function is applied to it. The process involves repeatedly applying the function to an initial guess, and using the result as the next guess. This process continues until the difference between consecutive guesses is smaller than a specified tolerance. The fixed point iteration can be used to solve equations of the form x = g(x), where g(x) is a function.

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  • Is the intersection of interval iteration not empty?

    No, the intersection of interval iteration is not empty. When two intervals are iterated, they will eventually converge to a common point, which will be the intersection point. This intersection point is not empty and represents the value where the two intervals meet after iteration.

  • How do you solve the fixed-point iteration method?

    To solve the fixed-point iteration method, you first need to rearrange the equation you want to solve into the form \(x = g(x)\), where \(g(x)\) is a function that will help you find the solution. Then, you choose an initial guess for the solution, denoted as \(x_0\). Next, you iterate using the formula \(x_{n+1} = g(x_n)\) until the difference between consecutive approximations is smaller than a specified tolerance level. Finally, the last approximation obtained is the solution to the equation.

  • Can someone explain the fixed-point iteration to me?

    Sure! Fixed-point iteration is a method used to find the fixed point of a function, which is a point where the function value is equal to the input value. The process involves repeatedly applying the function to an initial guess until the result converges to the fixed point. Mathematically, it can be represented as x_{n+1} = g(x_n), where g(x) is the function being iterated and x_n is the current approximation. Fixed-point iteration is commonly used in numerical analysis to solve equations and find roots of functions.

  • How can you delay each iteration of a while loop with BukkitRunnable?

    To delay each iteration of a while loop with BukkitRunnable, you can use the `runTaskLater` method to schedule the next iteration after a certain delay. Inside the while loop, you would create a new instance of BukkitRunnable and schedule it to run after the desired delay using `runTaskLater`. This way, each iteration of the while loop will be delayed by the specified amount of time before executing the next iteration. Remember to cancel the BukkitRunnable instance when the loop is finished to prevent memory leaks.

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